Fermilab Fermilab Core Computing Division

Library Home |  Ask a Librarian library@fnal.gov |  Book Catalog |  Library Journals |  Requests |  SPIRES |  Fermilab Documents |

Fermilab Library
SPIRES-BOOKS: FIND KEYWORD IT IN BUSINESS *END*INIT* use /tmp/qspiwww.webspi1/15207.305 QRY 131.225.70.96 . find keyword it in business ( in books using www Cover
Image
Call number:1118004477:ONLINE Show nearby items on shelf
Title:Lessons in IT Transformation: Technology Expert to Business Leader
Author(s): Bonfante
Date:2011
Publisher:Wiley
Size:1 online resource (225 p.)
ISBN:9781118004470
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470825227:ONLINE Show nearby items on shelf
Title:CHALLENGES IN IMPLEMENTING CORPORATE GOVERNANCE: W HOSE BUSINESS IS IT ANYWAY?
Author(s): ZINKIN
Date:2010
Publisher:Wiley
Size:1 online resource (289 p.)
ISBN:9780470825228
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470647558:ONLINE Show nearby items on shelf
Title:The Transformational CIO: Leadership and Innovation Strategies for IT Executives in a Rapidly Changing World
Author(s): Muller
Date:2011
Publisher:Wiley
Size:1 online resource (273 p.)
ISBN:9780470647554
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:0470507896:ONLINE Show nearby items on shelf
Title:Fraud in the Markets: Why It Happens and How to Fight It
Author(s): Goldmann
Date:2010
Publisher:Wiley
Size:1 online resource (273 p.)
ISBN:9780470507896
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Business & Management
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2016-9783319211060:ONLINE Show nearby items on shelf
Title:Applications of Systems Thinking and Soft Operations Research in Managing Complexity From Problem Framing to Problem Solving
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (61 p.)
Note:10.1007/978-3-319-21106-0
Contents:Part 1: Organizational Theme -- Using systems modeling to examine law enforcement collaboration in the response to serious crime -- Managing Complexity in Organizations through a Systemic Network of Projects -- Family of Related
Systemic Elements (FoRSE™) Matrix: Big(ger) Picture Thinking and Application for Business and Organizations -- Part 2: Disaster Management Theme -- Disentangling wicked problems: a reflexive approach towards resilience governance --
Post-disaster reconstruction – what does it mean to rebuild with resilience -- Black swans, dragon kings and beyond: towards predictability and suppression of extreme all-hazards events through modeling and simulation -- Part 3:
Systems approaches Theme -- Supporting Intelligence Analysis through visual thinking -- The Benefits of systems-thinking approach to accident investigation -- Systems Theory as a foundation for discovery of pathologies from complex
system problem formulation -- Soft (?) social systems and shocks: an experiment with an agent based model -- System Failure? Why humanitarian assistance can’t met its objectives without systems thinking- and why it finds it so hard to
use it -- Using First Nations systems thinking to operationalize sustainable development
ISBN:9783319211060
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Operations research , Decision making , Computer simulation , System safety , Statistical physics , Dynamical systems , Social sciences , Physics , Statistical Physics, Dynamical Systems and Complexity , Operation Research/Decision Theory , Methodology of the Social Sciences , Security Science and Technology , Simulation and Modeling
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319053653:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2012 [electronic resource]
Author(s): Magnus Fontes
Michael Gnther
Nicole Marheineke
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range ofapplications and methods , from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leadingfigures in business, science and academia who pro mote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as beinga catalyst for innovation as well as an overarching resource for indus try and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers andscientists which will help them to solve similar problems, and offers modeling and simulation techni ques that will provide mathematicians with a source of fresh ideas and inspiration
Contents:Preface
25 Years of ECMI: A View Back to its Childhood
Part I Circuits and Electromagnetic Devices
Part II Environment
Part III Fibers
Part IV Flow
Part V Medicine
Part VI Robotics and Automotive Industry
Part VII Further Applications
Part VIII Methods
Part IX Education
ISBN:9783319053653
Series:eBooks
Series:SpringerLink
Series:Mathematics in Industry, 1612-3956 : v19
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Finance , Computer science Mathematics , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319053202:ONLINE Show nearby items on shelf
Title:Contributions to Sampling Statistics [electronic resource]
Author(s): Fulvia Mecatti
Pier Luigi Conti
Maria Giovanna Ranalli
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. ITACOSM is the bi-annual meeting of the Survey Sampling Group S2G of the Italian Statistical Society, intended asan international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research paperscarefully selected fromboth invited and contributed sessions of the co nference. The whole book appears to bearelevant contribution to various key aspects of sampling methodology and techniques it dealswith some hot topics in sampling theory, suchascalibration, quantile-regression and multiple frame surveys, and with innovat ive methodologies in important topics of both sampling theory and applications.Contributions cut across current sampling methodologies such as intervalestimation for complex samples, randomized responses, bootstrap, weighting, modeling, imputation, small area estimationand effective use of auxiliary information applications cover a wide and enlarging range of subjects in officialhousehold surveys, Bayesian networks for measurement error,auditing,business and economicsurveys, geostatistics and agricultural statistics. The book is an updated, high level reference addressed to researchers, professionalsand practitioners in many fields
Contents:1 P.S. Kott: Calibration Weighting When Model and Calibration Variables Can Differ
2 M. Pratesi: M
quantile small area models for measuring poverty at a local level
3 A.C. Singh
4 J.F. Beaumont: The Analysis of Survey Data using the Bootstrap
5 Y.G. Berger, O. De La Riva Torres: Empirical likelihood confidence intervals: an application to the EU
SILC household surveys
6 A. Bianchi, S. Biffignandi: Responsive design for economic data in mixedmode panels
7 P.M. Chiodini, M.Zenga: Comparing the efficiency of sample plans for symmetric and non
symmetric distributions in auditing
ISBN:9783319053202
Series:eBooks
Series:SpringerLink
Series:Contributions to Statistics, 1431-1968
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Mathematical statistics , Statistics , Social sciences Methodology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319052601:ONLINE Show nearby items on shelf
Title:Excel 2010 for Health Services Management Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Simone Cummings
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is the first book to show the capabilities of Microsoft Excel to teach health services management statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel tosolve practical health services management problems. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, awidely available computer program for students a nd managers, is also an effective teaching and learning tool for quantitative analyses in health services management courses. Its powerful computational ability and graphical functionsmake learning statistics much easier than in years past. However, Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching studentsand managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand healthservices management problems. Practice problems are provided at the end of each chapter with their solutions in an Append ix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what theyhave learned. Includes 160 illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic c areer, Prof. Quirk spent six years in educational research at The American Institutesfor Research and Educational Testing Service. He is currently a Professor of Marketing in The Walker School of Business & Technology at Webster University in St. Louis, M issouri (USA), where he teaches Marketing Statistics, MarketingResearch, and Pricing Strategies. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education a
Contents:Sample Size, Mean, Standard Deviation and StandardError of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINVFunction and Hypothesis Testing
One
Group t
Test for the Mean
Two
Group t
Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
ANOVA
Appendices
Index
ISBN:9783319052601
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Practice of medicine
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319044866:ONLINE Show nearby items on shelf
Title:Risk - A Multidisciplinary Introduction [electronic resource]
Author(s): Claudia Klppelberg
Daniel Straub
Isabell M Welpe
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is a unique book addressing the integration of risk methodology from various fields. It stimulates intellectual debate and communication across disciplines, promotes better risk management practices and contributes to thedevelopment of risk mana gement methodologies. Book chapters explain fundamental risk models and measurement, and address risk and security issues from diverse areas such as finance and insurance, health sciences, life sciences,engineering and information science. Integrated Risk Sciences is an emerging field, that considers risks in different fields aiming at a common language, and at sharing and improving methods developed in different fields. Readersshould have a Bachelor degree and at least one basic university course in stat istics and probability. The main goal of the book is to provide basic knowledge on risk and security in a common language the authors have taken particularcare to ensure that each chapter can be understood by doctoral students and researchers across disci plines. Each chapter provides simple case studies and examples, open research questions and discussion points, and a selectedbibliography inviting the reader to further studies
Contents:Introduction
Part One. Risk in History and Science: Zachmann, K.: Risk in historical perspective: concepts, contexts, and conjunctions
Ltge, C., Schnebel, E., Westphal, N.: Risk management and business ethics: integrating the human factor
Straub, D., Welpe, I.: Decision
making under risk: a normative and behavioral perspective
Mainzer, K.: The new role of mathematical modelling and its importance for society
Part Two. Quantitative Risk Methodology: Biagini, F. , Meyer
Brandis, T. and Svindland, G. :The mathematical concept of risk
Fasen, V., Klppelberg, C., Menzel, A.: Qu
ISBN:9783319044866
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Geology , Computer science , Distribution (Probability theory) , Statistics , System safety , Climatic changes
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319038957:ONLINE Show nearby items on shelf
Title:Systems Engineering, Systems Thinking, and Learning [electronic resource] : A Case Study in Space Industry
Author(s): Hubert Anton Moser
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book focuses on systems engineering, systems thinking, and how that thinking can be learned in practice. It describes a novel analytical framework based on activity theory for understanding how systems thinking evolves andhow it can be improved to support multidisciplinary teamwork in the context of system development and systems engineering. This method, developed using data collected over four years from three different small space systems engineeringorganizations, can be applied in a wide var iety of work activities in the context of engineering design and beyond in order to monitor and analyze multidisciplinary interactions in working teams over time. In addition, the bookpresents a practical strategy called WAVES (Work Activity for a Evoluti on of Systems engineering and thinking), which fosters the practical learning of systems thinking with the aim of improving process development in differentindustries. The book offers an excellent resource for researchers and practitioners interested in s ystems thinking and in solutions to support its evolution. Beyond its contribution to a better understanding of systems engineering,systems thinking and how it can be learned in real-world contexts, it also introduce a suitable analysis framework that hel ps to bridge the gap between the latest social science research and engineering research.
Contents:Part I Introduction of the research project
Part II Analysis and findings of the empirical studies
Part III Results, intervention, and contributions
ISBN:9783319038957
Series:eBooks
Series:SpringerLink
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Engineering design , Astronautics , Business planning , Applied psychology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319028309:ONLINE Show nearby items on shelf
Title:Excel 2010 for Engineering Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is the first book to show the capabilities of Microsoft Excel to teach engineering statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solvepractical engineering problems. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely availablecomputer program for students and managers, is also an effecti ve teaching and learning tool for quantitative analyses in engineering courses. Its powerful computational ability and graphical functions make learning statistics mucheasier than in years past. However, Excel 2010 for Engineering Statistics: A Guide to S olving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel tostatistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the r eader to use Excelcommands to solve specific, easy-to-understand engineering problems. Practice problems are provided at the end of each chapter with their solutions in an Appendix. Separately, there is a full Practice Test (with answers in anAppendix) th at allows readers to test what they have learned. Includes 159 Illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic career, Prof. Quirk spent six years ineducational research at The American Instit utes for Research and Educational Testing Service. He then taught Social Psychology, Educational Psychology, General Psychology, Marketing, Management, and Accounting at Principia College,and is currently a Professor of Marketing in the George Herbert Wal ker School of Business & Technology at Webster University based in St. Louis, Missour
Contents:Introduction
Sample size, mean, standard deviation, standard error of the mean
Random number generator
Confidence interval about the mean using the TINV function and hypothesis testing
One
group t
test for the mean
Two
group t
test of the difference of the means for independent groups
Correlation and simple linear regression
Multiple correlation and multiple regression
One
way analysis of variance (ANOVA)
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E
Index
ISBN:9783319028309
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9783319015170:ONLINE Show nearby items on shelf
Title:Exploratory Data Analysis in Business and Economics [electronic resource] : An Introduction Using SPSS, Stata, and Excel
Author(s): Thomas Cleff
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools ineconomic analysis, decis ion-making and business planning. This textbook, Exploratory Data Analysis in Business and Economics, aims to familiarise students of economics and business as well as practitioners in firms with the basicprinciples, techniques, and applications of descri ptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. Thetextbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does notconfine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics.The German edition of this textbook is one of the bestsellers on the German market for literature in statistics
Contents:Statistics and Empirical Research
From Disarray to Dataset
Univariate Data Analysis
Bivariate Association
Regression Analysis
Time Series and Indices
Cluster Analysis
Factor Analysis
Solutions to Chapter Exercises
References and Bibliography
Index.
ISBN:9783319015170
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2014-9781493908264:ONLINE Show nearby items on shelf
Title:Grab 'n' Go Astronomy [electronic resource]
Author(s): Neil English
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Like everyone else, most amateur astronomers live busy lives. After a long day, the last thing you want as an observer is to have to lug out a large telescope and spend an hour getting it ready before it can be used. Maybe youare going somewhere sur e to have dark skies, but you dont necessarily want astronomy to dominate the trip. Or you are not quite committed to owning a large telescope, but curious enough to see what a smaller, portable setup canaccomplish. These are times when a small grab n go telescope, or even a pair of binoculars, is the ideal instrument. And this book can guide you in choosing and best utilizing that equipment. What makes a telescopefall into the grab n go category? Thats easy speed of setting up, ease of use, and above a ll, portability. This ambitious text is dedicated to those who love to or because of their limited time must observethe sky at a moments notice. Whether observing from the comfort of a backyard or while on business or vacation far from home, everything you need to know is here. So get started!! - Surveys the pros and consof the various types of equipment, including accessories and mounts, that are available. - Advises how to use your grab n go telescope to visit a wealth and wide variety of objects, from solar, lunar andplanetary observing to hunting deep sky objects of all kinds
Contents:Part I: Grab n Go Equipment
Grab n Go Refractors
Grab n Go Dobsonians
Grab n Go Catadioptrics
The Binocular Universe
Grab n Go Mounts
Ancillary Equipment for Small Telescopes
Part II: Grab n Go Observing
Sol Invictus
Lunar and Planetary Observing
Double Star Observing
Observing Open and Globular Clusters
Realm of the Nebulae
Variable Star Observing
Observing Galaxies
ISBN:9781493908264
Series:eBooks
Series:SpringerLink
Series:The Patrick Moore Practical Astronomy Series, 1431-9756
Series:Physics and Astronomy (Springer-11651)
Keywords: Astronomy
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9789491216831:ONLINE Show nearby items on shelf
Title:An Introduction to Order Statistics [electronic resource]
Author(s): Mohammad Ahsanullah
Valery B Nevzorov
Mohammad Shakil
Date:2013
Publisher:Paris : Atlantis Press : Imprint: Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time moreexperienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate thetheoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics,reliability engineering, meteorology, hydrology, business economics, sports ana lysis and many more
Note:Springer eBooks
Contents:Basic definitions
Distributions of order statistics
Sample quantiles and ranges
Representations for order statistics
Conditional distributions of order statistics
Order statistics for discrete distributions
Moments of order statistics: general relations
Moments of uniform and exponential order statistics
Moment relations for order statistics: normal distribution
Asymptotic behavior of the middle and intermediate order statistics
Asymptotic behavior of the extreme order statistics
Some properties of estimators based on order statistics
Minimum variance linear u
ISBN:9789491216831
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v3
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9783642329142:ONLINE Show nearby items on shelf
Title:Applied Panel Data Analysis for Economic and Social Surveys [electronic resource]
Author(s): Hans-Jrgen Andre
Katrin Golsch
Alexander W Schmidt
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, andmodel these kinds of dat a. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and randomeffects models, models for change scores and even t history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader throughdata provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right modelin applied research. The textbook is directed at master and doctoral students as wellas applied researchers in the social sciences, psychology, business administration and economics . Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation
Note:Springer eBooks
Contents:Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
Acknowledgements
Managing panel data: The nature of panel data
The basics of panel data management
Three case studies on poverty in Germany
How to represent a population with panel data?
Conclusion and further reading
Describing and modeling panel data: Some basic terminology
Measurements over time are not independent
Describing the dependent variable
Explaining the dependent variable over time: typical explanatory variables
Modeling panel data
Est
ISBN:9783642329142
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Econometrics , Social sciences Methodology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9783319006307:ONLINE Show nearby items on shelf
Title:Excel 2010 for Physical Sciences Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Meghan Quirk
Howard Horton
Date:2013
Publisher:Heidelberg : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solvepractical science problem s. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Each chapter explains statisticalformulas and directs the reader to use Excel command s to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a fullPractice Test (with answers in an Appendix) that allows readers to test wha t they have learned. Includes 159 illustrations in color. Suitable for undergraduates or graduate students. Professor.Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Loui s, Missouri (USA). He has published over 20 articles in professional journals and presented morethan 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Education al Psychology from Stanford University, as well as an M.B.A. from theUniversity of Missouri-St. Louis. Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B .A. in Biology and Religion at Principia Collegein Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe e cosystems in Photochemistry& Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado. Howard F. Horton holds an
Note:Springer eBooks
ISBN:9783319006307
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9781461484233:ONLINE Show nearby items on shelf
Title:Applied Statistics for Business and Management using Microsoft Excel [electronic resource]
Author(s): Linda Herkenhoff
John Fogli
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Applied Business Statistics for Business and Management using Microsoft Exelis the firstbook to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively.It is a step-by-step exercise-drivenguide for students and practiti oners who need to master Excel to solve practical statistical problems in industry.If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you arewary of computers, this is the right book for you.Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses.Its powerfulcomputational ability and graphical functions make learning statistics much easier t han in years past.However, Applied Business Statistics for Business and Managementcapitalizes on these improvements by teaching students andpractitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter e xplains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand businessproblems.Practice problems are provided at the end of each chapter with their solutions. Linda Herkenhoff is currently a full professor and director of the Transglobal MBA program at Saint Marys College in Moraga, California,where she teaches Quantitative Analysis and Statistics. She is the former Executive Director of Human Resources for Stanford University. The first sixteen years of h er career included various responsibilities within ChevronCorporation, primarily as a geophysicist. She has lived/worked/conducted research in over 30 countries and has spent time on all 7 continents. John Fogli is the Founder and President of Sentenium, Inc. John's business researchmethods have helped public and private industries better understand the involvement necessary to lead consensus solutions. He has facilitated ove
Note:Springer eBooks
ISBN:9781461484233
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9781461473817:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2013 [electronic resource] : Basics, Model Building, Simulation and Cases
Author(s): Cynthia Fraser
Date:2013
Edition:3rd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics toprovide information on perf ormance response under alternative scenarios. This updated edition ofthe populartext helps business students develop competitive advantages for use in their future careers as decision makers. Studentslearn to build models using logic and experience, produ ce statistics using Excel 2013 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain Englishand with compelling graphics in the form of memos and PowerPoints. Statisti cs, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number ofexamples focus on business in emerging global markets with particular emphasis on emerging market s in Latin America, China and India. Results are linked to implications for decision making with sensitivity analyses to illustrate howalternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2013 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses,are introduced from the start. The Third Edition features Monte Carlo simulation in three chapters, as a tool to illustrate the range of poss ible outcomes from decision makers assumptions and underlying uncertainties. Model buildingwith regression is presented as a process, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autoc orrelation and remedies, indicator variables to represent segmentdifferences, and seasonality, structural shifts or shocks in time series models. Special applications in market segmentation a
Note:Springer eBooks
Contents:Statistics for Decision Making and Competitive Advantage
Describing Your Data Chapter
Hypothesis Tests, Confidence Intervals, and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Market Simulation and Segmentation with Descriptive Statistics, Inference, Hypothesis Tests, and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Buildi
ISBN:9781461473817
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics , Economics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9781461468684:ONLINE Show nearby items on shelf
Title:Seamless R and C++ Integration with Rcpp [electronic resource]
Author(s): Dirk Eddelbuettel
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finallyaccessible to most R users. Rc pp should be part of every statistician's toolbox. Michael Braun, MIT Sloan School of Management Seamless R and C++ Integration with Rcpp is simply a wonderful book. For anyone who uses C/C++and R, it is an indispensable resource. The writing is outstandi ng. A huge bonus is the section on applications. This section covers the matrix packages Armadillo and Eigen and the GNU Scientific Library as well as RInside whichenables you to use R inside C++. These applications are what most of us need to know to rea lly do scientific programming with R and C++. I love this book. Robert McCulloch, University of Chicago Booth School of Business Rcpp isnow considered an essential package for anybody doing serious computational research using R. Dirk's book is an excelle nt companion and takes the reader from a gentle introduction to more advanced applications via numerous examples andefficiency enhancing gems. The book is packed with all you might have ever wanted to know about Rcpp, its cousins (RcppArmadillo, RcppEigen etc.), modules, package development and sugar. Overall, this book is a must-have on yourshelf. Sanjog Misra, UCLA Anderson School of Management The Rcpp package represents a major leap forward for scientific computations with R. With very few lines of C+ + code, one has R's data structures readily at hand for furthercomputations in C++. Hence, high-level numerical programming can be made in C++ almost as easily as in R, but often with a substantial speed gain. Dirk is a crucial person in these development s, and his book takes the reader from thefirst fragile steps on to using the full Rcpp machinery. A very recommended book! Sren Hjsgaard, Department of Mathematical S
Note:Springer eBooks
Contents:Preface
Introduction
A Gentle Introduction to Rcpp
Tools and Setup
Core Data Types
Data Structures: Part One
Data Structures: Part Two
Advanced Topics
Using Rcpp in your package
Extending Rcpp
Modules
Sugar
Applications
RInside
RcppArmadillo
RcppGSL
RcppEigen Appendix
C++ for R programmers
Indices
References
ISBN:9781461468684
Series:e-books
Series:SpringerLink (Online service)
Series:Use R! : v64
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2013-9781461443438:ONLINE Show nearby items on shelf
Title:R for Business Analytics [electronic resource]
Author(s): A Ohri
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and its 4000 packages. With this information the reader can select thepackages that can help pro cess the analytical tasks with minimum effort and maximum usefulness. The use of Graphical User Interfaces (GUI) is emphasized in this book to further cut downand bend the famous learning curve in learningR. This book is aimed to help you kick-start with analytics including chapters on data visualization, code examples on web analytics and social media analytics, clustering, regression models, text mining, data mining models andforecasting. The book tries to expose the reader to a breadth of business anal ytics topics without burying the user in needless depth. The included references and links allow the reader to pursue business analytics topics. Thisbook is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for businessanalytics practitioners. Business analytics (BA) refers to the field ofexploration and investigation of data generated by busines ses. Business Intelligence (BI) is the seamless dissemination of information through the organization,which primarily involves business metrics both past and current for the use of decision support in businesses. Data Mining (DM) is the process of discove ring new patterns from large data using algorithms and statistical methods. Todifferentiate between the three, BI is mostly current reports, BA is models to predict and strategizeand DM matches patterns in big data. The R statistical software is the faste st growing analytics platform in the world, and isestablished in both academia and corporations for robustness, reliability and accuracy.
Note:Springer eBooks
Contents:Why R
R Infrastructure
R Interfaces
Manipulating Data
Exploring Data
Building Regression Models
Data Mining using R
Clustering and Data Segmentation
Forecasting and Time
Series Models
Data Export and Output
Optimizing your R Coding
Additional Training Literature
Appendix
ISBN:9781461443438
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9783642325601:ONLINE Show nearby items on shelf
Title:Singularity Hypotheses [electronic resource] : A Scientific and Philosophical Assessment
Author(s): Amnon H Eden
James H Moor
Johnny H Sraker
Eric Steinhart
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Singularity Hypotheses: A Scientific and Philosophical Assessment offers authoritative, jargon-free essays and critical commentaries on accelerating technological progress and the notion of technological singularity. It focuses onconjectures about th e intelligence explosion, transhumanism, and whole brain emulation. Recent years have seen a plethora of forecasts about the profound, disruptive impact that is likely to result from further progress in these areas.Many commentators however doubt the scie ntific rigor of these forecasts, rejecting them as speculative and unfounded. We therefore invited prominent computer scientists, physicists, philosophers, biologists, economists and otherthinkers to assess the singularity hypotheses. Their contributions go beyond speculation, providing deep insights into the main issues and a balanced picture of the debate
Note:Springer eBooks
Contents:Singularity Hypotheses: An Overview
Part 1: A Singularity of Artificial Superintelligence
Intelligence Explosion: Evidence and Import
The Threat of a Reward
Driven Adversarial Artificial General Intelligence
New Millenium Al and the Convergence of History 2012
Why an Intelligence Explosion is Probable
Part 2: Concerns About Artificial Superintelligence
The Singularity and Machine Ethics
Artificial General Intelligence and the Human Mental Model
Some Economic Incentives Facing a Business That Might Bring About a Technological Singularity
Rationally
shaped Artificia
ISBN:9783642325601
Series:e-books
Series:SpringerLink (Online service)
Series:The Frontiers Collection, 1612-3018
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Neurosciences , Technology Philosophy , Artificial intelligence , Computer science
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9783642251009:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2010 [electronic resource]
Author(s): Michael Gnther
Andreas Bartel
Markus Brunk
Sebastian Schps
Michael Striebel
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:ECMI, the European Consortium for Mathematics in Industry, is the European brand associated with applied mathematics for industry and organizes highly successful biannual conferences. In this series, the ECMI 2010, the 16thEuropean Conference on Math ematics for Industry, was held in the historic city hall of Wuppertal in Germany. It covered the mathematics of a wide range of applications and methods, from circuit and electromagnetic device simulation tomodel order reduction for chip design, uncertain ties and stochastics, production, fluids, life and environmental sciences, and dedicated and versatile methods. These proceedings of ECMI 2010 emphasize mathematics as an innovationenabler for industry and business, and as an absolutely essential pre-requ iste for Europe on its way to becoming the leading knowledge-based economy in the world
Note:Springer eBooks
Contents:Part I Circuit and Electromagnetic Device Simulation
Part II Model Order Reduction for Chip Design
Part III Uncertainties and Stochastics
Part IV Production
Part VI Life and Environmental Sciences
Part VII Dedicated and Versatile Methods
Index
ISBN:9783642251009
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics in Industry, 1612-3956 : v17
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Finance , Computer science Mathematics , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9781461437345:ONLINE Show nearby items on shelf
Title:Excel 2007 for Business Statistics [electronic resource] : A Guide to Solving Practical Business Problems
Author(s): Thomas J Quirk
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practicalbusiness problems. If un derstanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer programfor students and managers, is also an effective tea ching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in yearspast. However, Excel 2007 for Business Statistics: A Guide to Solving Pract ical Business Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniquesnecessary in their courses and work. Each chapter explains statistical formulas and directs the read er to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of eachchapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that al lows readers to test what they have learned. Includes 165 illustrations in color
Note:Springer eBooks
Contents:Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
One
Group t
Test for the Mean
Two
Group t
Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
One
Way Analysis of Variance (ANOVA)
Appendix A: Answers to End
of
Chapter Practice Problems
Appendix B: Practice Test
Appendix C: Answers to Practice Test
Appendix D: Statistical Formulas
App
ISBN:9781461437345
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9781461432265:ONLINE Show nearby items on shelf
Title:Pyomo Optimization Modeling in Python [electronic resource]
Author(s): William E Hart
Carl Laird
Jean-Paul Watson
David L Woodruff
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a complete and comprehensive guide to Pyomo(Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, andpractitioners. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. This text beautifully illustrates the breadth of the modeling capabilities that are supported by this new software andits handling of complex real-world applications . Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (AlgebraicModeling Language) tools.Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language.Python is a powerful and dynamic programming language that has a very clear, readable syntaxand intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parame ters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can beused from a command-line interface and within Python's interactive command environment, which makes it easy to create P yomo models, apply a variety of optimizers, and examine solutions. The text begins with a tutorial on simplelinear and integer programming models. Information needed to install and get started with the software is also provided. A detailed reference of P yomo's modeling components is illustrated with extensive examples, including a discussionof how to load data from sources like spreadsheets and databases. The final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples
Note:Springer eBooks
Contents:Preface
1. Introduction
2. Pyomo Modeling Strategies
3. Model Components: Variables, Objectives and Constraints
4. Model Components: Sets and Parameters
5. Mischellaneous Model Components and Utility Functions
6. Initializing Abstract Models with Data Command Files
7. The Pyomo Command
Line Interface
8. Nonlinear Programming with Pyomo
9. Stochastic Programming Extensions
10. Scripting and Algorithm Development
A. Installing Coopr
B. A Brief Python Tutorial
C. Pyomo and Coopr: The Bigger Picture
Index
ISBN:9781461432265
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v67
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computer simulation , Computer science Mathematics , Computer software , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9781461405740:ONLINE Show nearby items on shelf
Title:Regression Analysis Under A Priori Parameter Restrictions [electronic resource]
Author(s): Pavel S Knopov
Arnold S Korkhin
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Construction of various models of objects under uncertainty is one of the most important problems in modern decision making theory. Regression models are some of the most prevalent tools for modeling under uncertainty and arewidely applied in differe nt branches of science such as in industrial research, agriculture, medicine, and business and economics. Regression Analysis Under A Priori Parameter Restrictions will be of interest to a broad spectrum ofreaders in applied mathematics, mathematical stat istics, identification theory, systems analysis, econometrics, finance, optimization, and other scientific disciplines. Requiring a background in algebra, probability theory,mathematical statistics, and mathematical programming, this work may also be a us eful supplement for advanced graduate courses in estimation theory, regression analysis, mathematical statistics, econometrics, mathematical programmingand optimal control, and stochastic optimization. The material contained in this monographsuccessfully combines interesting theoretical results with methods and algorithms for solving practical problems. It focuses on theconstruction of regression models with linear and non-linear constraint inequalities and is the first book in which the theoretical resul ts lying in the background of construction and studying regression models with inequalityconstraints on parameters are presented systematically and solidly. Problems are described and studied in a clear, precise, and rigorous method and include: calculati on of estimates for regression parameters, determination of theirasymptotic properties and accuracy of estimation, point and interval prediction by the regression, parameters of which are estimated under inequality constraints. The authors approach lends itself to numerous applications in variouspractical problems, several of which are discussed in detail
Note:Springer eBooks
ISBN:9781461405740
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v54
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9781441998576:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2010 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2012
Edition:2nd ed. 2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Exceptional managers know that they can create competitive advantages by basing decisions on performance response under alternative scenarios. To create these advantages, managers need to understand how to use statistics toprovide information on perf ormance response under alternative scenarios. This updated edition ofthe populartext helps business students develop competitive advantages for use in their future careers as decision makers. Studentslearn to build models using logic and experience, produ ce statistics using Excel 2010 with shortcuts, and translate results into implications for decision makers. The author emphasizes communicating results effectively in plain Englishand with compelling graphics in the form of memos and PowerPoints. Statisti cs, from basics to sophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number ofexamples focus on business in emerging global markets with particular emphasis on China and India . Results are linked to implications for decision making with sensitivity analyses to illustrate how alternate scenarios can be compared.Chapters include screenshots to make it easy to conduct analyses in Excel 2010 with time-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in businesses, are introduced from the start. MonteCarlo simulation is introduced early, as a tool to illustrate the range of possible outcomes from decision makers assumptions and underlyin g uncertainties. Model building with regression is presented as a process, adding levels ofsophistication, with chapters on multicollinearity and remedies, forecasting and model validation, autocorrelation and remedies, indicator variables to represent se gment differences, and seasonality, structural shifts or shocks in timeseries models. Special applications in market segmentation and portfolio analysis are offered, and an introduction to conj
Note:Springer eBooks
Contents:Statistics for Decision Making and Competitive Advantage
Describing Your Data
Hypothesis Tests, Confidence Intervals and Simulation to Infer Population Characteristics and Differences
Quantifying the Influence of Performance Drivers and Forecasting: Regression
Marketing Sgementation with Descriptive Statistics, Inference, Hypothesis Tests and Regression
Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression
Association between Two Categorical Variables: Contingency Analysis with Chi Square
Building Multiple Regression
ISBN:9781441998576
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9780817683467:ONLINE Show nearby items on shelf
Title:An Introduction to Continuous-Time Stochastic Processes [electronic resource] Theory, Models, and Applications to Finance, Biology, and Medicine
Author(s): Vincenzo Capasso
David Bakstein
Date:2012
Edition:2nd ed. 2012
Publisher:Boston, MA : Birkhuser Boston : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:From reviewsof First Edition: The book is... an account of fundamental concepts as they appear in relevant modern applications and literature.... The book addresses three main groups: first, mathematicians working in adifferent field second, other sc ientists and professionals from a business or academic background third, graduate or advanced undergraduate students of a quantitative subject related to stochastic theory and/or applications.Zentralblatt MATH This is an introductory text on continuous ti me stochastic processes and their applications to finance and biology. ... The book will be useful for applied mathematicians who are not probabilists to get a quickflavour of the techniques of stochastic calculus, and for professional probabilists to get a quick flavour of the applications. Mathematical Reviews Revised and enhanced, this conciselywritten second edition of An Introduction toContinuous-Time Stochastic Processes is a rigorousand self-contained introduction to the theoryof continuous-time st ochastic processes, stochastic integrals,and stochastic differentialequations. Expertly balancing theory andapplications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and ins urance using stochastic methods. No previous knowledge of stochastic processes isrequired. Key topicsinclude: * Markov processes * Stochastic differential equations * Arbitrage-free markets and financial derivatives * Insurance risk * Population dynamics * Agent-based models New to the Second Edition: * Improvedpresentation of original concepts * Expanded background on probability theory * Substantial material applicable tofinance and biology, including stable laws, Lvy processes, and It-Lvy calculus *Sup plemental appendix toprovidebasic facts on semigroups of linear operators An Introduction to Continuous-Time Stochastic Processes, Second Editionwill be of inte
Note:Springer eBooks
Contents:Part I. The Theory of Stochastic Processes
Fundamentals of Probability
Stochastic Processes
The It Integral
Stochastic Differential Equations
Part II. The Applications of Stochastic Processes
Applications to Finance and Insurance
Applications to Biology and Medicine
Part III. Appendices
Measure and Integration
Convergence of Probability Measures on Metric Spaces
Elliptic and Parabolic Operators
D Semigroups and Linear Operators
E Stability of Ordinary Differential Equations
References
ISBN:9780817683467
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology, 2164-3679
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Engineering mathematics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2012-9780817683191:ONLINE Show nearby items on shelf
Title:A Beginner's Guide to Finite Mathematics [electronic resource] For Business, Management, and the Social Sciences
Author(s): W.D Wallis
Date:2012
Edition:2nd ed. 2012
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The present textbook gives a concise introduction to finite mathematics. It covers the topics counting, discrete probability, graph theory, linear equations, and linear programmingThe mathematical level seems higher thanthe average US textbook on thi s topic. It is well written and easy to read, with many examples and applications. Internationale Mathematische Nachrichten (Review of First Edition) This book is designed for an elementaryone-semester course in finite mathematics and applications. Finite mathematics here means applicable discrete mathematics used by students in business, management and social sciencesA number of worked examples, called sampleproblems, are included in the body of each section. Every chapter is closed with a lot of exercis es complete solutions are provided at the end of the bookI would recommend this book [to] everyone who wants to have a first look atapplied discrete mathematics. Simulation News (Review of First Edition) This second edition of A Beginners Guide to Finite Mathematics: For Business, Management, and the Social Sciencestakes a distinctly applied approachto finite mathematics at the freshman and sophomore level. Topics are presented sequentially: the book opens with a brief review of sets and numbers, followed by an introduction to data sets, histograms, means and medians. Countingtechniques and the Binomial Theorem are covered, which provide the foundation for elementary probability theory this, in turn, leads to basic statistics. This new edition includes ch apters on game theory and financial mathematics.Graph theory is defined, with particular emphasis on its use in mathematical modeling. Matrices and vectors are discussed, along with several elementary commercial applications, including linear programming, the theory of games, andfinancial mathematics. Ample examples and illustrations are provided throughout each section contains two sets of problems, with solutio
Note:Springer eBooks
Contents:Preface
Numbers and Sets
Counting
Probability
Graph Theory
Linear Equations and Matrices
Linear Programming
Theory of Games
Financial Mathematics
Your Turn Solutions
Answers to Exercises A
Index
ISBN:9780817683191
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Logic, Symbolic and mathematical , Distribution (Probability theory)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9783642167294:ONLINE Show nearby items on shelf
Title:The Linear Ordering Problem [electronic resource] Exact and Heuristic Methods in Combinatorial Optimization
Author(s): Rafael Mart
Gerhard Reinelt
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex optimization problems abound in the real world. In the face of these challenges, established methods often fall short of providing solutions. However, exact and heuristic techniques are dramatically enhancingour ability to solve significant p ractical problems in the world of optimization. They are changing the landscape in the field, broadening the frontiers of the possible, and allowing us to engage effectively with a whole new range ofchallenges. This monograph sets out state-of-the-art opt imization methods for tackling the linear ordering problem (LOP). Whereas important applications in business, engineering and economics lie beyond the reach of methodologiesthat have been the focus of academic research for three decades, the fresh approac hes set out in this volume provide practical solutions to the LOP. The focus on the LOP does not limit the monographs scope and applicability,however. The exact and heuristic techniques outlined in these pages can be put to use in any number of combinator ial optimization problems. While the authors employ the LOP to illustrate cutting-edge optimization technologies, the bookis also a tutorial on how to design effective and successful implementations of exact and heuristic procedures alike. The information in these pages provides readers with a toolkit that can be employed in a variety of settings. As aresult, the book will be of great interest to researchers and practitioners in a number of fields, including computer science, mathematics, operations resea rch, management science, industrial engineering, and economics. It is alsosuitable for use as a textbook on issues of practical optimization in a masters course, or as a reference book for engineering optimization algorithms. The authors have sought to ma ke the book accessible to as wide an audience aspossible by providing the reader with basic definitions and concepts in optimization. In addition, the numerous tutorials aid speedy
Note:Springer eBooks
Contents:1 Introduction
2 Heuristic Methods
3 Meta
Heuristics
4 Branch
and
Bound
5 Branch
and
Cut
6 The Linear Ordering Polytope
7 Further Aspects
References
Index
ISBN:9783642167294
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v175
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Computer science , Algorithms , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781461404064:ONLINE Show nearby items on shelf
Title:Business Analytics for Managers [electronic resource]
Author(s): Wolfgang Jank
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision makingare plentiful and incr easing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing inanalytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making. Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal ofextracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. While the ideas discussed in this book can be implemented using many different softwaresolutions from many different vendors, it also provides a quick-start to one of the most powerf ul software solutions available. The main goals of this book are as follows: To excite managers and decision makersabout the potential that resides in data and the value that data analytics can add to business processes. To provide managers with a basi c understanding of the main concepts of data analytics and a common language toconvey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics
Note:Springer eBooks
Contents:Introduction
Exploring & Discovering Data
Data Modeling I
Basics
Data Modeling II
Making Models More Flexible
Data Modeling III
Making Models More Selective
Data Modeling IV
Fine Tuning Your Model
Introduction to the Statistical Software R
ISBN:9781461404064
Series:e-books
Series:SpringerLink (Online service)
Series:Use R
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781441999344:ONLINE Show nearby items on shelf
Title:Excel 2010 for Business Statistics [electronic resource] : A Guide to Solving Practical Business Problems
Author(s): Thomas Quirk
Date:2011
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practicalbusiness problems. If un derstanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer programfor students and managers, is also an effective tea ching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in yearspast. However, Excel 2010 for Business Statistics: A Guide to Solving Pract ical Business Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniquesnecessary in their courses and work. Each chapter explains statistical formulas and directs the read er to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of eachchapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that al lows readers to test what they have learned. Includes 165 illustrations in color
Note:Springer eBooks
Contents:Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
One
Group t
Test for the Mean
Two
Group t
Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
One
Way Analysis of Variance (ANOVA)
ISBN:9781441999344
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2011-9781441917720:ONLINE Show nearby items on shelf
Title:Introduction to Modeling and Analysis of Stochastic Systems [electronic resource]
Author(s): V. G Kulkarni
Date:2011
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and publicpolicy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. The book is devoted to the study ofimportant classes of stochastic processes: discre te and continuous time Markov processes, Poisson processes, renewal and regenerative processes, semi-Markov processes, queueing models, and diffusion processes. The book systematicallystudies the short-term and the long-term behavior, cost/reward models, and first passage times. All the material is illustrated with many examples, and case studies. The book provides a concise review of probability in the appendix.The book emphasizes numerical answers to the problems. A collection of MATLAB programs to acco mpany the this book can be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maxim.zip. A graphical user interface to access the above filescan be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maximgui.zip . The second edition incorporates several c hanges. First its title reflects the changes in content: the chapters on design and control have been removed. The booknow contains several case studies that teach the design principles. Two new chapters have been added. The new chapter on Poisson process es gives more attention to this important class of stochastic processes than the first edition did.The new chapter on Brownian motion reflects its increasing importance as an appropriate model for a variety of real-life situations, including finance. V. G . Kulkarni is Professor in the Department of Statistics and Operations Researchin the University of North Carolina, Chapel Hill. He has authored a graduate-level text Modeling and Analysis of Stochastic
Note:Springer eBooks
Contents:Introduction
Discrete
Time Markov Models
Poisson Processes
Continuous
Time Markov Models
Generalized Markov Models
Queueing Models
Brownian Motion
ISBN:9781441917720
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2010-9783642116728:ONLINE Show nearby items on shelf
Title:Gsta Mittag-Leffler [electronic resource] : A Man of Conviction
Author(s): Arild Stubhaug
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Gsta Mittag-Leffler (18461927) played a significant role on the world stage as both a scientist and entrepreneur. Regarded as the father of Swedish mathematics, his influence extended far beyond his chosen field because ofhis extensive network of int ernational contacts in science, business, and the arts. His social and professional circles included such luminaries as Selma Lagerlf, Albert Einstein, Sonya Kovalevsky, Alfred Nobel, Karl Weierstrass,Henri Poincar, and Marie Curie. (He was instrumental i n seeing to it that the latter was awarded the Nobel Prize, not once but twice.) One of Mittag-Lefflers major accomplishments was the founding of the journal Acta Mathematicain 1882. Today the journal is still published by Institut Mittag-Leffler and Swed ens Royal Academy of Sciences, and it continues to be one of the most prestigious journals in mathematics. Arild Stubhaugs research for thismonumental biography of the Swedish mathematician relied on a wealth of primary and secondary resources, including more than 30000 letters that are part of the Mittag-Leffler archives. Written in a lucid and compelling manner, thebiography contains many hitherto unknown facts about Mittag-Lefflers personal life and professional endeavors. It will be of great interest to both mathematicians and general readers interested in science and culture
Note:Springer eBooks
Contents:Prelude
Journey at the Turn of the Century
The House in Djursholm
Family and Childhood
Leffler and Mittag
Gstas Parents
The Teachers Family in Stockholm
Four Years at Stockholm Gymnasium
Studies
First Semester in Uppsala
Festivities and Student Drills
Summer on the West Coast
The Aristocracy of Lennartsns
Controversy over the Academic Degree Regulations
His Sisters Debut and His Fathers Illness
First Trip Abroad
The Stablemaster at vrejrva
Doctoral Degree
Docent in Uppsala
A Turning Point
With a Room in Paris
In
ISBN:9783642116728
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Science (General) , Science History , Mathematics_$xHistory , Engineering
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2010-9781441916365:ONLINE Show nearby items on shelf
Title:Complex Intelligent Systems and Their Applications [electronic resource]
Author(s): Fatos Xhafa
Leonard Barolli
Petraq J Papajorgji
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex Intelligent Systems and Their Applications presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts inareas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence. Thisbook is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, thevolume provides insights into the multidisciplinary nature of complex pro blems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent systemdesign. Key Features of Complex Intelligent Systems and Their Applications include: - Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolvethese problems. - Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence. - Real lifeexamples presented throughout the book extend the texts suitability to practitioners. This book presents the most recent interdisciplinary results i n this area of research and can serve as a valuable tool for researchers interestedin defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence
Note:Springer eBooks
Contents:Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models
An Ontology
Based Approach for Supporting Business
IT Alignment
EPCIS
Based Supply Chain Event Management
Cost
Benefit Analysis to Hedge with Third
Party Producers in Demand
Driven Production
A Security Assurance Model to Holistically Assess the Information Security Posture
Risk
Aware Business Process ManagementEstablishing the Link Between Business and Security
Self
Optimised Tree Overlays Using Proximity
Driven Self
Organised Agents
Filtering Order Adaptation B
ISBN:9781441916365
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v41
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer network architectures , Computer system performance , Computer science , Artificial intelligence , Operations research
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9783642044663:ONLINE Show nearby items on shelf
Title:Computational Fluid Dynamics for Sport Simulation [electronic resource]
Author(s): Martin Peters
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:All over the world sport plays a prominent role in society: as a leisure activity for many, as an ingredient of culture, as a business and as a matter of national prestige in such major events as the World Cup in soccer or theOlympic Games. Hence, it is not surprising that science has entered the realm of sports, and, in particular, that computer simulation has become highly relevant in recent years. This is explored in this book by choosing five differentsports as examples, demonstrating that comput ational science and engineering (CSE) can make essential contributions to research on sports topics on both the fundamental level and, eventually, by supporting athletes performance
Note:Springer eBooks
Contents:Numerical Models and Simulations in Sailing Yacht Design
Swimming Simulation: A New Tool for Swimming Research and Practical Applications
On CFD Simulation of Ski Jumping
Soccer Ball Aerodynamics
Aerodynamics of an Australian Rules Foot Ball and Rugby Ball
ISBN:9783642044663
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v72
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9783540882336:ONLINE Show nearby items on shelf
Title:Non-Life Insurance Mathematics [electronic resource] : An Introduction with the Poisson Process
Author(s): Thomas Mikosch
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claimarrivals, the total clai m amount, and their probabilistic properties. Throughout the volume the language of stochastic processes is used for describing the dynamics of an insurance portfolio in claim size, space and time. Specialemphasis is given to the phenomena which are cause d by large claims in these models. The reader learns how the underlying probabilistic structures allow determining premiums in a portfolio or in an individual policy. The second editioncontains various new chapters that illustrate the use of point process techniques in non-life insurance mathematics. Poisson processes play a central role. Detailed discussions show how Poisson processes can be used to describe complexaspects in an insurance business such as delays in reporting, the settlement of claims and claims reserving. Also the chain ladder method is explained in detail. More than 150 figures and tables illustrate and visualize the theory.Every section ends with numerous exercises. An extensive bibliography, annotated with various comments sections wi th references to more advanced relevant literature, makes the volume broadly and easily accessible
Note:Springer eBooks
ISBN:9783540882336
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9783540687214:ONLINE Show nearby items on shelf
Title:Interpreting Economic and Social Data [electronic resource] : A Foundation of Descriptive Statistics
Author(s): Othmar W Winkler
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Interpreting Economic and Social Data aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models ofsociety on the other. It do es this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The authorchallenges many preconceptions about aggregation, tim e series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. Interpreting Social and Economic Dataalso links statistics with other quantitative fields like accounting and geogr aphy. It is aimed at students and professors in business, economics and social science courses, and in general, at users of socio-economic data, requiringonly an acquaintance with elementary statistical theory
Note:Springer eBooks
Contents:Developments in Socio
Economic Statistics
From the Facts in Society to Socio
Economic Data
Structure and Nature of Socio
Economic Data: The Aggregates
Ratios in the Social Sciences
Interpreting Longitudinal Data, Part 1 Looking to the Past
Longitudinal Analysis, Part 2 Looking to the Future
Longitudinal Analysis, Part 3 Index Numbers
Cross Sectional Analysis in One Dimension
Cross Sectional Analysis in More Than One Dimension
Socio
Economic Statistics and Probability
The Interface between Statistics and Accounting
Socio
Economic Statistics and Geogra
ISBN:9783540687214
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics , Economics Methodology
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9781848009387:ONLINE Show nearby items on shelf
Title:Game Theoretic Problems in Network Economics and Mechanism Design Solutions [electronic resource]
Author(s): Hastagiri Prakash
Ramasuri Narayanam
Dinesh Garg
Y Narahari
Date:2009
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With the advent of the Internet and other modern information and communication technologies, a magnificent opportunity has opened up for introducing new, innovative models of commerce, markets, and business. Creating theseinnovations calls for signif icant interdisciplinary interaction among researchers in computer science, communication networks, operations research, economics, mathematics, sociology, and management science. In the emerging era of newproblems and challenges, one particular tool that has found widespread applications is mechanism design. The focus of this book is to explore game theoretic modeling and mechanism design for problem solving in Internet and networkeconomics. It provides a sound foundation of relevant concepts and theory, to help apply mechanism design to problem solving in a rigorous way
Note:Springer eBooks
Contents:From the contents Motivating Problems in Network Economics
Foundations of Mechanisms Design
Strategic Form Games
Dominant Strategy Equilibria
Pure Strategy Nash Equilibrium
Bayesian Games
Social Choice Functions
Incentive Compatibility and the Revelation Theorem
Properties of Social Choice Functions
Bayesian Implementation
Revenue Equivalence Theorem
Mechanism Design for Sponsored Search Auctions
Internet Advertising
Sponsored Search Auction
Individual Rationality
Computational Complexity
Mechanism Design for Resource Procurement in Grid Computin
ISBN:9781848009387
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Information and Knowledge Processing
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computer science , Artificial intelligence , Social sciences Data processing
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9781441909107:ONLINE Show nearby items on shelf
Title:Planning and Scheduling in Manufacturing and Services [electronic resource]
Author(s): Michael L Pinedo
Date:2009
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This second edition book focuses on planning and scheduling applications with a new chapter on planning and scheduling in health care. Planning and scheduling are forms of decision-making that play an important role in mostmanufacturing and services industries. The planning and scheduling functions in a company typically use analytical techniques and heuristic methods to allocate its limited resources to the activities that have to be done. Theapplication areas considered in this book are divided int o manufacturing applications and services applications. The book covers four areas in planning and scheduling: preliminary scheduling, planning and scheduling in manufacturing,planning and scheduling in services and systems development and implementation. It covers four areas in services: reservations and timetabling, tournament scheduling, planning and scheduling in transportation, planning and sheduling inhealthcare and workforce scheduling. At the end of each chapter, a case study or a system implementa tion is described in detail. Numerous examples and exercises throughout the book illustrate the material presented. The fundamentalsconcerning the methodologies used in the application chapters are covered in the appendices. This book is suitable for more advanced students in industrial engineering and operations research as well as graduate students in business.Michael Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University. His research interests lie in the theoretical and applied aspects of planning and scheduling. He haswritten numerous papers on the theory of deterministic and stochastic scheduling and has also consulted extensively in industry. He has been actively involved in the de velopment of several large industrial planning and schedulingsystems. The book may be very useful as an application guideline for practicioners from the manufacturing and services sectors, while it has
Note:Springer eBooks
Contents:Introduction
Manufacturing Models
Service Models
Project Planning and Scheduling
Machine Scheduling and Job Shop Scheduling
Scheduling of Flexible Assembly Systems
Economic Lot Scheduling
Planning and Scheduling in Supply Chains
Interval Scheduling, Reservations, and Timetabling
Planning and Scheduling in Sports and Entertainment
Planning, Scheduling, and Timetabling in Transportation
Planning and Scheduling in Healthcare
Workforce Scheduling
Systems Design and Implementation
Advanced Concepts in Systems Design
What Lies Ahead?
Mathematical Program
ISBN:9781441909107
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operations research , Economics , Business planning , Business logistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2009-9780387744032:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2007 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2007 with shortcuts,and translate results i nto implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics tosophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China andIndia. Results are linked to implications for decision making with sensitiv ity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2007 withtime-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in bu sinesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possibleoutcomes from decision makers assumptions and underlying uncertainties. Model building with regression is presented as a proc ess, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting andmodel validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in tim e series models. Special applications in market segmentation and portfolioanalysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapt er on logit regression models introduces models ofmarket share or proportions. Cynthia Fraser received her Ph.D. from The Wharton School, University of Pennsylvania, and is a member of the Marketing
Note:Springer eBooks
ISBN:9780387744032
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Finance , Economics Statistics , Econometrics , Marketing
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2008-9780387774152:ONLINE Show nearby items on shelf
Title:Chance Rules [electronic resource] : an informal guide to probability, risk and statistics
Author(s): Brian Everitt
Date:2008
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education,travel, health, and marr iage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number ofdifferent circumstances. Such understanding becomes s impler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts thestory of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantumtheory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babiesremain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probab ilistic explanation of why things were better when you were younger, consideration of whether you can useprobability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how ev olution scores over creationism. Chance Rules lets you learn about probabilitywithout complex mathematics. Brian Everitt is Professor Emeritus at King's College, London. He is the author of over 50 books on statistics
Note:Springer eBooks
Contents:A Brief History of Chance
What Are the Chances? Assigning Probabilities
Choice and Chance Permutations and Combinations
Tossing Coins and Having Babies
Rolling Dice
Gambling for Fun: Lotteries and Football Pools
Serious Gambling: Roulette, Cards and Horse Racing
Balls, Birthdays and Coincidences
Conditional Probability and the Reverend Thomas Bayes
Puzzling Probabilities
Taking Risks
Statistics, Statisticians and Medicine
Alternative TherapiesPanaceas or Placebos?
What Does the Future Hold?
Chance, Chaos and Chromosomes
ISBN:9780387774152
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2008-9780387759593:ONLINE Show nearby items on shelf
Title:Time Series Analysis [electronic resource] : With Applications in R
Author(s): Jonathan D Cryer
Kung-Sik Chan
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, thenew edition devotes t wo chapters to the frequency domain and three to time series regression models, models for heteroscedasticity, and threshold models. All of the ideas and methods are illustrated with both real and simulated datasets. A unique feature of this edition is it s integration with the R computing environment. The tables and graphical displays are accompanied by the R commands used to produce them. An extensive R package, TSA, which contains many newor revised R functions and all of the data used in the book, acco mpanies the written text. Script files of R commands for each chapter are available for download. There is also an extensive appendix in the book that leads the readerthrough the use of R commands and the new R package to carry out the analyses. Jonathan Cryer is Professor Emeritus, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American StatisticalAssociation and received a Collegiate Teaching Award from the University of Iowa College of Liberal Arts and Sciences. He is the author of Statistics for Business: Data Analysis and Modeling, Second Edition, (with Robert B. Miller),the Minitab Handbook, Fifth Edition, (with Barbara Ryan and Brian Joiner), the Electronic Companion to Statistics (with George Cobb) , Electronic Companion to Business Statistics (with George Cobb) and numerous research papers. Kung-SikChan is Professor, University of Iowa, in the Department of Statistics and Actuarial Science. He is a Fellow of the American Statistical Association and the Institute of the Mathematical Statistics, and an Elected Member of theInternational Statistical Institute. He received a Faculty Scholar Award from the University of Iowa in 1996. He is the author
Note:Springer eBooks
Contents:Introduction
Fundamental Concepts
Trends
Models for Stationary Time Series
Models for Nonstationary Time Series
Model Specification
Parameter Estimation
Model Diagnostics
Forecasting
Seasonal Models
Time Series Regression Models
Time Series Models of Heteroscedasticity
Introduction to Spectral Analysis
Estimating the Spectrum
Threshold Models
ISBN:9780387759593
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2008-9780387749327:ONLINE Show nearby items on shelf
Title:Feasibility and Infeasibility in Optimization [electronic resource] : Algorithms and Computational Methods
Author(s): John W Chinneck
Date:2008
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others.Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving riseto a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for a large model, or even to accurately determine if one exists, e.g. for nonlinear models. If themodel is feasible, how quickly can a solution be found? If the mode l is infeasible, how can the cause be isolated and diagnosed? Can a repair to restore feasibility be carried out automatically? Researchers have developed numerousalgorithms and computational methods in recent years to address such issues, with a number o f surprising spin-off applications in fields such as artificial intelligence and computational biology. Over the same time period, relatedapproaches and techniques relating to feasibility and infeasibility of constrained problems have arisen in the constr aint programming community. Feasibility and Infeasibility in Optimization is a timely expository book that summarizesthe state of the art in both classical and recent algorithms related to feasibility and infeasibility in optimization, with a focus on pra ctical methods. All model forms are covered, including linear, nonlinear, and mixed-integerprograms. Connections to related work in constraint programming are shown. Part I of the book addresses algorithms for seeking feasibility quickly, including new me thods for the difficult cases of nonlinear and mixed-integer programs.Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints
Note:Springer eBooks
Contents:Seeking Feasibility
Preliminaries
Seeking Feasibility in Linear Programs
Seeking Feasibility in Mixed
Integer Linear Programs
A Brief Tour of Constraint Programming
Seeking Feasibility in Nonlinear Programs
Analyzing Infeasibility
Isolating Infeasibility
Finding the Maximum Feasible Subset of Linear Constraints
Altering Constraints to Achieve Feasibility
Applications
Other Model Analyses
Data Analysis
Miscellaneous Applications
Epilogue
ISBN:9780387749327
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research and Management Science, 0884-8289 : v118
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Industrial engineering , Engineering economy , Econometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2007-9783764379889:ONLINE Show nearby items on shelf
Title:Cluster Analysis for Data Mining and System Identification [electronic resource]
Author(s): Jnos Abonyi
Balzs Feil
Date:2007
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification,regression and visualiz ation of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model orderof nonlinear input-output black box models, a nd the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and processengineering practice. The book is aimed primarily at practitioners, research es, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduatestudents in applied mathematics, computer science, electrical and process engineering. Familiarity wit h the basics of system identification and fuzzy systems is helpful but not required. Key features: - Detailed overview of the mostpowerful algorithms and approaches for data mining and system identification is presented. - Extensive references give a good overview of the current state of the application of computational intelligence in data mining and systemidentification, and suggest further reading for additional research. - Numerous illustrations to facilitate the understanding of ideas and methods pre sented. - Supporting MATLAB files, available at the websitewww.fmt.uni-pannon.hu/softcomp create a computational platform for exploration and illustration of many concepts and algorithms presented in the book
Note:Springer eBooks
Contents:Classical fuzzy cluster analysis
Visualization of the clustering results
Clustering for fuzzy model identification
Fuzzy clustering for system identification
Fuzzy model based classifiers
Segmentation of multivariate time
series
ISBN:9783764379889
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical statistics , Economics Statistics , Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2007-9780387707822:ONLINE Show nearby items on shelf
Title:Indirect Sampling [electronic resource]
Author(s): Pierre Lavalle
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Following the classical sampling theory, the survey statistician selects samples of people, businesses or others, in order to obtain the desired information. Drawing the samples is usually done by randomly selecting from a listrepresenting the target population. In practice, this list is often not available. At best, the statistician only has access to a different list, indirectly related to the targeted population. The example of a survey of children wherethe statistician only has a list of adult pe rsons is a typical case. In this case, the statistician first draws a sample of adults, and for each selected adult, the statistician then identifies his/her children. The survey is done fromthe latter. This is what is called indirect sampling. When indir ect sampling is used jointly with the sampling of clusters of persons (families, for example), many complications arise for the survey statistician. One of thecomplications relates to the computation of the estimates from the survey. The production of est imates of simple totals or means can then become nightmares for the survey statistician. To solve this problem, the author proposes asimple solution, easy to implement, that is called the generalised weight share method. This book is the reference on indi rect sampling and the generalised weight share method. It contains the different developments done by the authoron these subjects. The theory surrounding them is presented, but also different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably, when working in a contextof indirect sampling. Pierre Lavalle has been a survey statistician at Statistics Canada since 1985. He gas worked in social, business, and agricultural surveys. He has also worked for Eurostat in Luxembourg
Note:Springer eBooks
Contents:Description and Use of the GWSM
Literature Review
Properties
Other Generalisations
Application in Longitudinal Surveys
GWSM and Calibration
Non
response
GWSM and Record Linkage
Conclusion
ISBN:9780387707822
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Quality of Life , Mathematical statistics , Population , Social sciences Methodology , Quality of Life Research , Demography
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9783540313144:ONLINE Show nearby items on shelf
Title:From Data and Information Analysis to Knowledge Engineering [electronic resource] : Proceedings of the 29th Annual Conference of the Gesellschaft fr Klassifikation e.V. University of Magdeburg, March 911, 2005/ edited by Myra Spiliopoulou, Rudolf Kr use, Christian Borgelt, Andreas Nrnberger, Wolfgang Gaul
Author(s): Myra Spiliopoulou
Rudolf Kruse
Christian Borgelt
Andreas Nrnberger
Wolfgang Gaul
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The volume contains revised versions of selected papers presented during the 29th Annual Conference of the Gesellschaft fr Klassifikation (GfKl), the German Classification Society, held at the Otto-von-Guericke-University ofMagdeburg, Germany, in Mar ch 2005. In addition to papers on the traditional subjects Classification, Clustering, and Data Analysis, there are many papers on a wide range of topics with a strong relation to Computer Science. Examplesare Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization. Application-oriented topics include Economics, Marketing, Banking and Finance, Medicine, Bioinformatics, Biostatistics,and Music Analysis
Note:Springer eBooks
Contents:Plenaries and Semi
plenaries
Clustering
Discriminant Analysis
Classification with Latent Variable Models
Multiway Classification and Data Analysis
Ranking, Multi
label Classification, Preferences
PLS Path Modeling, PLS Regression and Classification
Robust Methods in Multivariate Statistics
Data Mining and Explorative Multivariate Data Analysis
Text Mining
Fuzzy Data Analysis
Economics and Mining in Business Processes
Banking and Finance
Marketing
Adaptivity and Personalization
User and Data Authentication in IT Security
Bioinformatics and Biostat
ISBN:9783540313144
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Optical pattern recognition , Economics Statistics , Economics, Mathematical
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387400655:ONLINE Show nearby items on shelf
Title:Numerical Optimization [electronic resource]
Author(s): Jorge Nocedal
Stephen J Wright
Date:2006
Edition:Second Edition
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business byfocusing on the methods t hat are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods foroptimization, both of which are used widely in practice an d the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wideaudience. It can be used as a graduate text in engineering, operations research, math ematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived toproduce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful natur e of the discipline and its practical side
Note:Springer eBooks
ISBN:9780387400655
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Systems theory , Computer science Mathematics , Mathematical optimization
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387334776:ONLINE Show nearby items on shelf
Title:Production Planning by Mixed Integer Programming [electronic resource]
Author(s): Yves Pochet
Laurence A Wolsey
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This textbook provides a comprehensive modeling, reformulation and optimization approach for solving production planning and related supply chain planning problems, covering topics from a basic introduction to planning systems,mixed integer programmi ng (MIP) models and algorithms through the advanced description of mathematical results in polyhedral combinatorics required to solve these problems. This book addresses the solution of real life or industrialproduction planning problems (involving comple x production structures with multiple production stages) using a MIP modeling and reformulation approach. It is based on close to twenty years of research in which the authors have played asignificant role. One of the goals of this book is to allow non-ex pert readers, students in business, engineering, applied mathematics and computer science to solve such problems using standard modeling tools and MIP software. Toachieve this the book provides a unique collection of reformulation results, integrating the m into a comprehensive modeling and reformulation approach, as well as an easy to use problem-solving library. Moreover this approach isdemonstrated through a series of real life case studies, exercises and detailed illustrations. Graduate students and re searchers in operations research, management, science and applied mathematics wishing to gain a deeper understandingof the formulations and mathematics underlying this approach will find this book useful because of its detailed treatment of the polyhedral structure of the basic lot-sizing problems and simple mixed integer sets that arise in thedecomposition of more complicated problems. This book will allow the reader to improve formulations of non-standard MIP models and produce state-of-the-art models a nd algorithms
Note:Springer eBooks
Contents:Production Planning and MIP
The Modeling and Optimization Approach
Production Planning Models and Systems
Mixed Integer Programming Algorithms
Classification and Reformulation
Reformulations in Practice
Basic Polyhedral Combinatorics for Production Planning and MIP
Mixed Integer Programming Algorithms and Decomposition Approaches
Single
Item Uncapacitated Lot
Sizing
Basic MIP and Fixed Cost Flow Models
Single
Item Lot
Sizing
Lot
Sizing with Capacities
Backlogging and Start
Ups
Single
Item Variants
Multi
Item Lot
Sizing
Multi
Item Single Level Proble
ISBN:9780387334776
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Operations research , Industrial engineering , Business logistics , Management information systems
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387323480:ONLINE Show nearby items on shelf
Title:Modeling Financial Time Series with S-PLUS [electronic resource]
Author(s): Eric Zivot
Jiahui Wang
Date:2006
Edition:Second Edition
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitatethe practice of financ ial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economicsand finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This second edition is updated tocover S+FinMetrics 2.0 and includes new chapters on copulas, n onlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method ofmoments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scho lar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teachescourses on econometric theory, financial econometrics and time series econometrics, and is the recipien t of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics andEconometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics andStatistics. Jiahui Wang is a Principal and Trading Research Officer at Barclays Global Investors. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such asEconometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR gran
Note:Springer eBooks
Contents:S and S
PLUS
Time Series Specification, Manipulation and Visualization in S
PLUS
Time Series Concepts
Unit Root Tests
Modeling Extreme Values
Time Series Regression Modeling
Univariate GARCH Modeling
Long Memory Time Series Modeling
Rolling Analysis of Time Series
Systems of Regression Equations
Vector Autoregressive Models for Multivariate Time Series
Cointegration
Multivariate GARCH Modeling
State Space Models
Factor Models for Asset Returns
Term Structure of Interest Rates
Robust Change Detection
Nonlinear Time Series Models
Copulas
C
ISBN:9780387323480
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Mathematical statistics , Economics Statistics , Econometrics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387283593:ONLINE Show nearby items on shelf
Title:Stochastic Finance [electronic resource]
Author(s): A. N Shiryaev
M. R Grossinho
P. E Oliveira
M. L Esquvel
Date:2006
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Ever since Black, Scholes, and Merton did their pioneering work in the field of financial mathematics, continuing research has led to the rapid development of a substantial body of knowledge, with numerous applications to thecommon functioning of the worlds financial institutions. Mathematics, as the language of science, has always played a role in the development of knowledge and technology. Presently, the high-tech character of modern business hasincreased the need for advanced methods, which rely to a large extent on mathematical techniques. It has become essential for the financial analyst to possess a high degree of proficiency in these mathematical techniques. The essays inStochastic Finance describe many of these techniques. Audience This book is intended for experts in mathematics, statistics, mathematical finances, and economics
Note:Springer eBooks
Contents:Plenary and Invited Lectures
How Often to Sample a Continuous
Time Process in the Presence of Market Microstructure Noise
Multipower Variation and Stochastic Volatility
Completeness of a General Semimartingale Market under Constrained Trading
Extremal behavior of stochastic volatility models
Capital Asset Pricing for Markets with Intensity Based Jumps
Mortgage Valuation and Optimal Refinancing
Computing efficient hedging strategies in discontinuous market models
A Downside Risk Analysis based on Financial Index Tracking Models
Contributed Talks
Modelling electrici
ISBN:9780387283593
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2006-9780387276229:ONLINE Show nearby items on shelf
Title:Cooperative Stochastic Differential Games [electronic resource]
Author(s): David W. K Yeung
Leon A Petrosyan
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business byfocusing on the methods t hat are best suited to practical problems. For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods foroptimization, both of which are used widely in practice an d the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wideaudience. It can be used as a graduate text in engineering, operations research, math ematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived toproduce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful natur e of the discipline and its practical side
Note:Springer eBooks
Contents:Deterministic and Stochastic Differential Games
Cooperative Differential Games in Characteristic Function Form
Two
person Cooperative Differential Games with Discounting
Two
person Cooperative Stochastic Differential Games
Multiplayer Cooperative Stochastic Differential Games
Cooperative Stochastic Differential Games with Nontransferable Payoffs
ISBN:9780387276229
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research and Financial Engineering, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operations research , Economics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9781846281686:ONLINE Show nearby items on shelf
Title:A Modern Introduction to Probability and Statistics [electronic resource] Understanding Why and How
Author(s): Frederik Michel Dekking
Cornelis Kraaikamp
Hendrik Paul Lopuha
Ludolf Erwin Meester
Date:2005
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the methodsthey are taught, or why t he methods work. The strength of this book is that it readdresses these shortcomings by using examples, often from real-life and using real data, the authors can show how the fundamentals of probabilistic andstatistical theories arise intuitively. It prov ides a tried and tested, self-contained course, that can also be used for self-study. A Modern Introduction to Probability and Statistics has numerous quick exercises to give directfeedback to the students. In addition the book contains over 350 exercises , half of which have answers, of which half have full solutions. A website at www.springeronline.com/1-85233-896-2 gives access to the data files used in thetext, and, for instructors, the remaining solutions. The only pre-requisite for the book is a firs t course in calculus the text covers standard statistics and probability material, and develops beyond traditional parametric models tothe Poisson process, and on to useful modern methods such as the bootstrap. This will be a key text for undergraduates i n Computer Science, Physics, Mathematics, Chemistry, Biology and Business Studies who are studying a mathematicalstatistics course, and also for more intensive engineering statistics courses for undergraduates in all engineering subjects
Note:Springer eBooks
Contents:Why Probability and Statistics?
Outcomes, Events and Probability
Conditional Probability and Independence
Discrete Random Variables
Continuous Random Variables
Simulation
Expectation and Variance
Computations with Random Variables
Joint Distributions and Independence
Covariance and Correlation
More Computations with More Random Variables
The Poisson Process
The Law of Large Numbers
The Central Limit Theorem
Exploratory Data Analysis: Graphical Summaries
Exploratory Data Analysis: Numerical Summaries
Basic Statistical Models
The Bootstrap
Unbi
ISBN:9781846281686
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory) , Engineering mathematics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387273990:ONLINE Show nearby items on shelf
Title:Planning and Scheduling in Manufacturing and Services [electronic resource]
Author(s): Michael L Pinedo
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book focuses on planning and scheduling applications. Planning and scheduling are forms of decision-making that play an important role in most manufacturing and services industries. The planning and scheduling functions in acompany typically use analytical techniques and heuristic methods to allocate its limited resources to the activities that have to be done. The application areas considered in this book are divided into manufacturing applications andservices applications. The book covers five areas in manufacturing: project scheduling, job shop scheduling, scheduling of flexible assembly systems, economic lot scheduling, and planning and scheduling in supply chains. It covers fourareas in services: reservations and timetabling, tournament sch eduling, planning and scheduling in transportation, and workforce scheduling. At the end of each chapter, a case study or a system implementation is described in detail.Numerous examples and exercises throughout the book illustrate the material presented. The fundamentals concerning the methodologies used in the application chapters are covered in the appendices. This book is suitable for moreadvanced students in industrial engineering and operations research as well as graduate students in business. Mich ael Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New YorkUniversity. His research interests lie in the theoretical and applied aspects of planning and scheduling. He has written numerous papers on the theory of deterministic and stochastic scheduling and has also consulted extensively inindustry. He has been actively involved in the development of several large industrial planning and scheduling systems
Note:Springer eBooks
Contents:Introduction
Manufacturing Models
Service Models
Project Planning and Scheduling
Machine Scheduling and Job Shop Scheduling
Scheduling of Flexible Assembly Systems
Economic Lot Scheduling
Planning and Scheduling in Supply Chains
Interval Scheduling, Reservations, and Timetabling
Planning and Scheduling in Sports and Entertainment
Planning, Scheduling, and Timetabling in Transportation
Workforce Scheduling
Systems Design and Implementation
Advanced Concepts in Systems Design
What Lies Ahead?
Mathematical Programming Formulations
Exact Optimization M
ISBN:9780387273990
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Operations Research, 1431-8598
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operations research , Economics , Business planning , Business logistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387271583:ONLINE Show nearby items on shelf
Title:Permutation, Parametric and Bootstrap Tests of Hypotheses [electronic resource]
Author(s): Phillip Good
Date:2005
Edition:Third Edition
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text will equip both practitioners and theorists with the necessary background in testing hypothesis and decision theory to enable innumerable practical applications of statistics. Its intuitive and informal style makes itsuitable as a text for both students and researchers. It can serve as the basis a one- or two-semester graduate course as well as a standard handbook of statistical procedures for the practitioners desk. Parametric, permutation, andbootstrap procedures for testing hypotheses ar e developed side by side. The emphasis on distribution-free permutation procedures will enable workers in applied fields to use the most powerful statistic for their applications andsatisfy regulatory agency demands for methods that yield exact significan ce levels, not approximations. Algebra and an understanding of discrete probability will take the reader through all but the appendix, which utilizes probabilitymeasures in its proofs. The revised and expanded text of the 3rd edition includes many more re al-world illustrations from biology, business, clinical trials, economics, geology, law, medicine, social science and engineering along withtwice the number of exercises. Real-world problems of missing and censored data, multiple comparisons, nonresponder s, after-the-fact covariates, and outliers are dealt with at length. New sections are added on sequential analysis andmultivariate analysis plus a chapter on the exact analysis of multi-factor designs based on the recently developed theory of synchronous permutations. The book's main features include: Detailed consideration of one-, two-, and k-sampletests, contingency tables, clinical trials, cluster analysis, multiple comparisons, multivariate analysis, and repeated measures Numerous practical applicati ons in archeology, biology, business, climatology, clinical trials, economics,education, engineering, geology, law, medicine, and the social sciences Valuable techniques for reducing computation time
Note:Springer eBooks
Contents:Wide Range of Applications
Optimal Procedures
Testing Hypothesis
Distributions
Multiple Tests
Experimental Designs
Multifactor Designs
Categorical Data
Multivariate Analysis
Clustering in Time and Space
Coping with Disaster
Solving the Insolveable
Publishing Your Results
Increasing Computational Efficiency
ISBN:9780387271583
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387262819:ONLINE Show nearby items on shelf
Title:Supply Chain Optimization [electronic resource]
Author(s): Joseph Geunes
Panos M Pardalos
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Supply Chain Optimization captures the latest results in a segment of current research activity in supply chain management. This research area focuses on applying optimization techniques to supply chain management problems. Theresearch papers that ma ke up the volume provide a snapshot of state-of-the-art optimization methods within the field. This book presents rigorous modelling approaches for supply chain operations problems with a goal of improving supplychain performance (or the performance of so me segment thereof). It contains high-quality works from leading researchers in the field whose expertise fits within this scope. The book provides a diverse blend of research topics and novelmodelling and solution approaches for difficult classes of supp ly chain operations, planning, and design problems. Audience This book is intended for researchers in supply chain management, applied operations research, andoptimization industry practitioners in supply chain management with interests in operations ma nagement and operations research graduate students in supply chain management and optimization-related disciplines
Note:Springer eBooks
Contents:Information Centric Optimization of Inventories in Capacitated Supply Chains: Three Illustrative Examples
An Analysis of Advance Booking Discount Programs Between Competing Retailers
Third Party Logistics Planning with Routing and Inventory Costs
Optimal Investment Strategies for Flexible Resources, Considering Pricing
Multi
Channel Supply Chain Design in B2C Electronic Commerce
Using Shapley Value to Allocate Savings in A Supply Chain
Service Facility Location and Design with Pricing and Waiting
Time Considerations
A Conceptual Framework for Robust Supply Chain Design Und
ISBN:9780387262819
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Optimization, 1384-6485 : v98
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Industrial procurement , Business logistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387243498:ONLINE Show nearby items on shelf
Title:Practical Mathematical Optimization [electronic resource] : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms
Author(s): Jan A Snyman
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimizationtheory and algorithms to hi s own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention ispaid to the difficultiessuch as noise, discontinu ities, expense of function evaluations, and the existence of multiple minimathat often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on newgradient-based methods developed by the author and his coworkers, it is shown how t hese difficulties may be overcome without losing the desirable features of classical gradient-based methods. Audience It is intended that this book beused in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineerin g, computer science, and operations research departments, and also to be useful to practising professionals in the workplace
Note:Springer eBooks
Contents:Preface
Table of Notation
Introduction
Line Search Descent Methods for Unconstrained Minimization
Standard Methods for Constrained Optimization
New Gradient
Based Trajectory and Approximation Methods
Example Problems
Some Theorems
The Simplex Method for Linear Programming Problems
Bibliography
Index
ISBN:9780387243498
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Optimization, 1384-6485 : v97
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Algorithms , Numerical analysis , Mathematical optimization , Operations research
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2005-9780387235813:ONLINE Show nearby items on shelf
Title:Supply Chain Optimisation [electronic resource] : Product/Process Design, Facility Location and Flow Control
Author(s): Alexandre Dolgui
Jerzy Soldek
Oleg Zaikin
Date:2005
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of productionsystems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisationproblems taking into account supply chain paradi gms, which create a pivotal idea to increase the productivity of modern production systems. The first part of the book presents a set of modelling techniques taking into account theenterprise integration problem, the knowledge management in the SME networ ks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and managementwhich are based on mathematical programming and metaheuristics. The third part of this book de als with some examples of advanced applied decision aid tools directly linked to real industrial problems. Audience This volume is suitablefor industrial engineers, faculty staff and graduate students in industrial engineering, management science, operati ons research, artificial intelligence and computer sciences. This book can be used as a reference for graduate coursesand also for researchers and industrial engineers to capture current trends in this field
Note:Springer eBooks
Contents:Contributing Authors
Preface
An Initiative for International Consensus on Enterprise
Towards Knowledge Logistics in Agile SME Networks
A Modelling Framework for Human Resource
Based Business Processes
Managing Service
Sensitive Demand Through Simulation
Robust Modeling of Consumer Behaviour
Sizing, Cycle Time and Plant Control Using Dioid Algebra
Concurrent Processes Flow Prototyping
Modelling of the Supply Chain
Hybrid Methods for Line Balancing Problems
Stability of Optimal Line Balance
Simple Plant Location Problem
Concave Cost Supply Management
Pro
ISBN:9780387235813
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Optimization, 1384-6485 : v94
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization , Operations research
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2004-9783642593048:ONLINE Show nearby items on shelf
Title:MuPAD Tutorial
Author(s): Christopher Creutzig
Date:2004
Edition:Second Edition
Size:1 online resource (415 p.)
Note:10.1007/978-3-642-59304-8
Contents:1. Introduction -- 1.1 Numerical Computations -- 1.2 Computer Algebra -- 1.3 Characteristics of Computer Algebra Systems -- 1.4 Existing Systems -- 1.5 MuPAD -- 2. First Steps in MuPAD -- 2.1 Explanations and Help -- 2.2 Computing
with Numbers -- 2.3 Symbolic Computation -- 3. The MuPAD Libraries -- 3.1 Information About a Particular Library -- 3.2 Exporting Libraries -- 3.3 The Standard Library -- 4. MuPAD Objects -- 4.1 Operands: the Functions op and fops --
4.2 Numbers -- 4.3 Identifiers -- 4.4 Symbolic Expressions -- 4.5 Sequences -- 4.6 Lists -- 4.7 Sets -- 4.8 Tables -- 4.9 Arrays -- 4.10 Boolean Expressions -- 4.11 Strings -- 4.12 Functions -- 4.13 Series Expansions -- 4.14 Algebraic
Structures: Fields, Rings, etc. -- 4.15 Vectors and Matrices -- 4.16 Polynomials -- 4.17 Interval Arithmetic -- 4.18 Null Objects: null (), NIL, FAIL, undefined -- 5. Evaluation and Simplification -- 5.1 Identifiers and Their Values --
5.2 Complete, Incomplete, and Enforced Evaluation -- 5.3 Automatic Simplification -- 6. Substitution: subs, subsex, and subsop -- 7. Differentiation and Integration -- 7.1 Differentiation -- 7.2 Integration -- 8. Solving Equations:
solve -- 8.1 Polynomial Equations -- 8.2 General Equations and Inequalities -- 8.3 Differential Equations -- 8.4 Recurrence Equations -- 9. Manipulating Expressions -- 9.1 Transforming Expressions -- 9.2 Simplifying Expressions -- 9.3
Assumptions About Symbolic Identifiers -- 10. Chance and Probability -- 11. Graphics -- 11.1 Introduction -- 11.2 Easy Plotting: Graphs of Functions -- 11.3 Advanced Plotting: Principles and First Examples -- 11.4 The Full Picture:
Graphical Trees -- 11.5 Viewer, Browser, and Inspector: Interactive Manipulation -- 11.6 Primitives -- 11.7 Attributes -- 11.8 Colors -- 11.9 Animations -- 11.10 Groups of Primitives -- 11.11 Transformations -- 11.12 Legends -- 11.13
Fonts -- 11.14 Saving and Exporting Pictures -- 11.15 Importing Pictures -- 11.16 Cameras in 3D -- 11.17 Strange Effects in 3D? Accelerated OpenGL? -- 12. The History Mechanism -- 13. Input and Output -- 13.1 Output of Expressions --
13.2 Reading and Writing Files -- 14. Utilities -- 14.1 User-Defined Preferences -- 14.2 Information on MuPAD Algorithms -- 14.3 Restarting a MuPAD Session -- 14.4 Executing Commands of the Operating System -- 15. Type Specifiers --
15.1 The Functions type and testtype -- 15.2 Comfortable Type Checking: the Type Library -- 16. Loops -- 17. Branching: if-then-else and case -- 18. MuPAD Procedures -- 18.1 Defining Procedures -- 18.2 The Return Value of a Procedure
-- 18.3 Returning Symbolic Function Calls -- 18.4 Local and Global Variables -- 18.5 Subprocedures -- 18.6 Scope of Variables -- 18.7 Type Declaration -- 18.8 Procedures with a Variable Number of Arguments -- 18.9 Options: the Remember
Table -- 18.10 Input Parameters -- 18.11 Evaluation Within Procedures -- 18.12 Function Environments -- 18.13 A Programming Example: Differentiation -- 18.14 Programming Exercises -- A. Solutions to Exercises -- B. Documentation and
References -- C. Graphics Gallery -- D. Comments on the Graphics Gallery
ISBN:9783642593048
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Computers , Visualization , Computer software , Physics , Applied mathematics , Engineering mathematics , Mathematics , Mathematical Software , Information Systems and Communication Service , Visualization , Theoretical, Mathematical and Computational Physics , Appl.Mathematics/Computational Methods of Engineering , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2004-9781402019586:ONLINE Show nearby items on shelf
Title:Recent Developments on Structural Equation Models Theory and Applications
Author(s):
Date:2004
Size:1 online resource (358 p.)
Note:10.1007/978-1-4020-1958-6
Contents:1: Theoretical Developments -- 1. Statistical Power in PATH Models for Small Sample Sizes -- 2. SEM State Space Modeling of Panel Data in Discrete and continuous Time and its Relationship to Traditional State Space Modeling -- 3.
Thurstone’s Case V Model: a Structural Equations Modeling Perspective -- 4. Evaluating Uncertainty of Model Acceptability in Empirical Applications: A Replacement Approach -- 5. Improved Analytic Interval Estimation of Scale
Reliability -- 6. A Component Analysis Approach towards Multisubject Multivariate Longitudinal Data Analysis -- 7. Least Squares Optimal Scaling for Partially Observed Linear Systems -- 8. Multilevel Structural Equation Models: the
Limited Information Approach and the Multivariate Multilevel Approach -- 9. Latent Differential Equation Modeling with Multivariate MultiOccasion Indicators -- 2: Applications -- 10. Varieties of Causal Modeling: How Optimal Research
Design Varies by Explanatory Strategy -- 11. Is it Possible to Feel Good and Bad at the Same Time? New Evidence on the Bipolarity of Mood-State Dimensions -- 12. Development of a Short Form of the Eysenck Personality Profiler via
Structural Equation Modeling -- 13. Methodological Issues in the Application of the Latent Growth Curve Model -- 14. Modeling Longitudinal Data of an Intervention Study on Travel Model Choice: Combining Latent Growth Curves and
Autoregressive Models -- 15. Methods for Dynamic Change Hypotheses -- 16. Modeling Latent Trait-Change
ISBN:9781402019586
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modelling: Theory and Applications: 19
Keywords: Psychology , Business , Management science , Statistics , Economic theory , Econometrics , Psychology , Psychology, general , Econometrics , Business and Management, general , Economic Theory/Quantitative Economics/Mathematical Methods , Statistics for Business/Economics/Mathematical Finance/Insurance
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2002-9784431669937:ONLINE Show nearby items on shelf
Title:Empirical Science of Financial Fluctuations The Advent of Econophysics
Author(s):
Date:2002
Size:1 online resource (352 p.)
Note:10.1007/978-4-431-66993-7
Contents:Quantifying Empirical Economic Fluctuations Using the Organizing Principles of Scale Invariance and Universality -- Price Fluctuations and Market Activity -- Transaction Interval Analysis of High Resolution Foreign Exchange Data --
Random Matrix Theory and Cross-Correlations of Stock Prices -- A Random Matrix Theory Approach to Quantifying Collective Behavior of Stock Price Fluctuations -- Dynamics of Correlations in the Stock Market -- False EUR Exchange Rates
vs. DKK, CHF, JPY and USD. What is a strong currency? -- Crashes : Symptoms, Diagnoses and Remedies -- Variety of Stock Returns in Normal and Extreme Market Days: The August 1998 Crisis -- A Mechanism of International Transmission of
Financial Crises -- High Frequency Data Analysis in an Emerging and a Developed Market -- Measuring Long-Range Dependence in Electricity Prices -- Micro-Simulations of Financial Markets and the Stylized Facts -- Statistical Property of
Price Fluctuations in a Multi-Agent Model and the Currency Exchange Market -- A Speculative Financial Market Model -- Spin-Glass Like Network Model for Stock Market -- Three Bodies Trading Model in Financial Markets and Its Numerical
Simulation Methodology with Genetic Algorithms -- Derivation of ARCH(1) Process from Market Price Changes Based on Deterministic Microscopic Multi-Agent -- A Simple Model of Volatility Fluctuations in Asset Markets -- Self-Similarity
of Price Fluctuations and Market Dynamics -- Survival Probability of LIFFE bond futures via the Mittag-Leffler Function -- Why is it Fat-Tailed? -- Market Price Simulator Based on Analog Electrical Circuit -- Simulation and Analysis of
a Power Law Fluctuation Generator -- Deformation of Implied Volatility Surfaces: An Empirical Analysis -- Predictability of Market Prices -- Time-Space Scaling of Financial Time Series -- Parameter Estimation of a Generalized Langevin
Equation of Market Price -- Analysis of Stock Markets, Currency Exchanges and Tax Revenues -- Trading System Applied to Large Mutual Fund Company -- Why Financial Markets Will Remain Marginally Inefficient -- The Law of Consumer Demand
in Japan: A Macroscopic Microeconomic View -- A Functional-Analytic and Numerical-Analytic Approach to Nonlinear Economic Models Described by the Master Equation -- Modelling the Growth Statistics of Economic Organizations --
Statistical Laws in the Income of Japanese Companies -- Empirical Identification of Competitive Strategies: Russian Bank System -- Pareto’s Law for Income of Individuals -- Physics of Personal Income
ISBN:9784431669937
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Finance , Statistical physics , Dynamical systems , Statistics , Physics , Statistical Physics, Dynamical Systems and Complexity , Finance, general , Statistics for Business/Economics/Mathematical Finance/Insurance
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2002-9783642559914:ONLINE Show nearby items on shelf
Title:Classification, Automation, and New Media Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15—17, 2000
Author(s):
Date:2002
Size:1 online resource (535 p.)
Note:10.1007/978-3-642-55991-4
Contents:1: Data Analysis, Statistics, and Classification -- Clustering and Models -- Some New and Some Old Results for the Polytomous Rasch Model -- Some Basic Results on the Extension of Quasi-likelihood Based Measurement Error Correction to
Multivariate and Flexible Structural Models -- On the Optimal Number of Clusters in Histogram Clustering -- The Dual Dynamic Factor Analysis Models -- Joint Non-symmetrical Correspondence Analysis with Ordered Categories -- Regression
Analysis of Extremely Multicollinear Data -- Modern Data Analysis: A Clash of Paradigms -- Two-mode Clustering with Genetic Algorithms -- Exact Tests for the Comparison of Binary Data Structures in Time -- Connected Maximum Split
Clustering of Ladder Graphs -- A Generalization of Two-mode Three-way Asymmetric Multidimensional Scaling -- Central Limit Theorem for Probabilities of Correct Classification -- A New Model for the Analysis of Multitrait-multimethod
Data -- Discrete and Continuous Models for Two-way Data -- 2: Pattern Recognition and Automation -- Towards Feature Fusion — A Classifier on the Basis of Automatically Generated Significant Contour Sections -- Convex Discriminant
Analysis Tools for Non Convex Pattern Recognition -- Sparse Kernel Feature Analysis -- 3: Data Mining, Information Processing, and Automation -- Exploring Association Rules by Interactive Graphics -- Classification of Texts with
Support Vector Machines: An Examination of the Efficiency of Kernels and Data-transformations -- Text Mining with the Help of Cohesion Trees -- New Features of Categorical Principal Components Analysis for Complicated Data Sets,
Including Data Mining -- Supplement of Information: Data Integration by Classification of Pairs of Records -- The Completion of Missing Values by Neural Nets for Data Mining -- Knowledge Landscapes: Clustering Hypermedia Course Content
for Efficient Overviews -- Simplification of Knowledge Discovery using “Structure Classification” -- 4: New Media, Web Mining, and Automation -- Natural Language-based Specification and Fuzzy Logic for the Multimedia Development
Process -- A Tool System for an Object-oriented Approach to Construction and Maintenance of Hypermedia Documents -- Recommendations for Virtual Universities from Observed User Behavior -- Virtual Dialect Areas in the Internet:
“Townchats” -- The Navigation Problem in the World-Wide-Web -- Mining Web Usage Data for Automatic Site Personalization -- Integrating Combinatorial Relationships in a Cartography for Web Site Promotion -- 5: Applications in Management
Science, Finance, and Marketing -- Common Due Date Scheduling — Straddling Jobs and Due Windows — -- Currency Derivatives in German Non-financials: Empirical Evidence on Theoretical Approaches -- Data Visualization and Preparation by
Separating Sales Force Data -- Fuzzy Scenario Evaluation -- Fair Stock Risk Premiums under Firm-specific Price Jumps -- What Components Determine Stock Market Returns in the 1990’s? -- A Comparison of Estimators for Multivariate ARCH
Models -- Pricing of a New Integrated Risk Reinsurance Product -- A Multiple Method Approach for Discrimination and Classification in Marketing Research -- Goodness-of-Fit Measures for Two-mode Cluster Analyses -- On Volatility
Transfers During the Asia Crisis in 1997-1998 -- 6: Applications in Medicine, Biology, Archaeology, and Others -- QTL Mapping in Plant Populations -- Robust Multivariate Methods in Geostatistics -- Resampling Methods in Physical
Mapping -- Validating Dialect Comparison Methods -- Rater Classification on the Basis of Latent Features in Responding to Situations -- Results of Automatic Conversion of Diagnoses from ICD-9 to ICD-10 for Cancer Registration --
Exploring Roman Brick and Tile by Cluster Analysis with Validation of Results -- Relief Intensity and the Formation of the Archaeological Record -- Spatio-Temporal Modeling of Cancer Mortality Rates -- The Classification of Critical
Periods for Melanoma Development due to UV-Radiation -- Classification in the Prescription of Medicaments -- Effects of Independent Non-differential Misclassification on the Attributable Risk -- A New Approach to Discriminant Analysis
with Longitudinal Data -- Author Index
ISBN:9783642559914
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Coding theory , Pattern recognition , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Coding and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Pattern Recognition
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2002-9780387215570:ONLINE Show nearby items on shelf
Title:Essential Maple 7 An Introduction for Scientific Programmers
Author(s): Robert M Corless
Date:2002
Size:1 online resource (282 p.)
Note:10.1007/b97270
Contents:Basics -- Useful One-Word Commands -- Programming in Maple
ISBN:9780387215570
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Programming languages (Electronic computers) , Computer software , Physics , Computational intelligence , Mathematics , Mathematical Software , Programming Languages, Compilers, Interpreters , Mathematical Methods in Physics , Computational Intelligence , Numerical and Computational Physics , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2000-9783642576782:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics 14th Symposium held in Utrecht, The Netherlands, 2000
Author(s):
Date:2000
Size:1 online resource (540 p.)
Note:10.1007/978-3-642-57678-2
Contents:Keynote papers -- The broad role of multiple imputation in statistical science -- Official Statistics: an estimation strategy for the IT-era -- Invited papers -- Bayesian model selection methods for nonnested models -- Spatio-temporal
hierarchical modeling of an infectious disease from (simulated) count data -- GBMs: GLMs with bilinear terms -- Generalized calibration and application to weighting for non-response -- Methodological issues in data mining -- Practical
data mining in a large utility company -- HGLMs for analysis of correlated non-normal data -- Bootstrapping impulse responses in VAR analyses -- An application of TRAMO-SEATS model selection and out-of-sample performance. The Swiss CPI
series -- Spreadsheets as tools for statistical computing and statistics education -- An algorithm for deepest multiple regression -- Non-proportional hazards models in survival analysis -- A spatio-temporal analysis of a field trial
-- Contributed papers -- Principal component logistic regression -- Sieve bootstrap prediction intervals -- Clustering by maximizing a fuzzy classification maximum likelihood criterion -- Tree-based algorithms for missing data
imputation -- MiPy: a system for generating multiple imputations -- A linear approximation to the wild bootstrap in specification testing -- The size of the largest nonidentifiable outlier as a performance criterion for multivariate
outlier identification: the case of high-dimensional data -- The influence of data generation and imputation methods on the bias of factor analysis of rating scale data -- Model on a population and prediction on another one: a
generalized discriminant rule -- Disclosure control on multi-way tables by means of the shuttle algorithm: extensions and experiments -- An MLE strategy for combining optimally pruned decision trees -- Semi-parametric models for data
mining -- Preliminary estimation of ARFIMA models -- A collection of applets for visualizing statistical concepts -- Non-parametric regression and density estimation under control of modality -- Multivariate approaches for aggregate
time series -- Some space-time models: an application to NO2 pollution in an urban area -- SLICE: generalised software for statistical data editing and imputation -- Improved PCB inspection: computational issues -- Optimization of the
antithetic Gibbs sampler for Gaussian Markov random fields -- Computing zonoid trimmed regions of bivariate data sets -- Outlier resistant estimators for canonical correlation analysis -- Graphical and phase space models for univariate
time series -- The use of the Tweedie distribution in statistical modelling -- Predictive dimension: an alternative defmition to embedding dimension -- Post-stratification to correct for nonresponse: classification of ZIP code areas --
Approximate Bayesian inference for simple mixtures -- Correlated INAR(1) process -- Confidence regions for stabilized multivariate tests -- Comparison of stationary time series using distribution-free methods -- Generation of Boolean
classification rules -- A statistical package based on Pnuts -- Generalized regression trees -- Generalized linear mixed models: an improved estimating procedure -- The stochastic dimension in a dynamic GIS -- A robust version of
principal factor analysis -- TESS: system for automatic seasonal adjustment and forecasting of time series -- The BADAME project -- Improving Statistics Canada’s cell suppression software (CONFID) -- The multimedia project MM*STAT for
teaching statistics -- Projection pursuit approach to robust canonical correlation analysis -- A fast algorithm for highly robust regression in data mining -- Optimal classification trees -- GAM spline algorithms: a direct comparison
-- Markov Chain Monte Carlo methods for handling missing covariates in longitudinal mixed models -- Robust Bayesian classification -- Social science measurement by means of item response models -- Multivariate DLMs for forecasting
financial time series, with application to the management of portfolios -- An algorithm for the multivariate Tukey median -- Analyzing and synthesizing information from a multiple-study database -- Bootstrapping neural discriminant
model -- An improved algorithm for robust PCA -- Applying techniques of dynamic programming to sequential mastery testing -- The introduction of formal structure into the processing of statistical summary data -- Validation of
association rules by interactive mosaic plots -- Optimality models for PRAM -- Dealing with real ordinal data: recent advances in analyzing tied, censored, and multivariate observations -- Testing for differences in location: a
comparison of bootstrap methods in the small sample case -- Two principal points for location mixtures -- Vector splines and other vector smoothers -- Index of authors -- Index of keywords
ISBN:9783642576782
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics and Computing/Statistics Programs , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2000-9783642572807:ONLINE Show nearby items on shelf
Title:Classification and Information Processing at the Turn of the Millennium Proceedings of the 23rd Annual Conference of the Gesellschaft für Klassifikation e.V., University of Bielefeld, March 10–12, 1999
Author(s):
Date:2000
Size:1 online resource (492 p.)
Note:10.1007/978-3-642-57280-7
Contents:1: Data Analysis and Classification -- New Developments in Latent Variable Models -- Regression-Type Models for Kohonen’s Self-Organizing Networks -- Relational Data Analysis, Discrimination and Classification -- Data Types and
Information: Beyond the Current Practice of Data Analysis -- Two-Mode Three-Way Asymmetric Multidimensional Scaling with Constraints on Asymmetry -- Regularized Discriminant Analysis with Optimally Scaled Data -- Recurrence Properties
in Two-Mode Hierarchical Clustering -- On Pyramidal Classification in the Delimitation of Climatic Regions in Catalonia -- On the Modal Understanding of Triadic Contexts -- Clustering and Scaling: Grouping Variables in Burt Matrices --
Standardisation of Data Set under Different Measurement Scales -- Neural Networks for Two-Group Classification Problems with Monotonicity Hints -- A Bridge from the Nearest Neighbour to the Fixed Bandwidth in Nonparametric Functional
Estimation -- Clustering Techniques for the Detection of Business Cycles -- Simulated Annealing Optimization for Two-mode Partitioning -- 2: Computer Science, Computational Statistics, and Data Mining -- Competitiveness of Evolutionary
Algorithms -- Intelligent Data Analysis via Linguistic Data Summaries: A Fuzzy Logic Approach -- Algorithm Selection Support for Classification -- Society of Knowledge — Interdisciplinary Perspectives of Information Processing in
Virtual Networks -- What is Computational Statistics? -- A Development Framework for Nature Analogic Heuristics -- Systematizing and Evaluating Data Mining Methods -- On Textures: A Sketch of a Texture-Based Image Segmentation Approach
-- Automatic Texture Classification by Visual Properties -- Java Servlets versus CGI — Implications for Remote Data Analysis -- Generating Automatically Local Feature Groups of Complex and Deformed Objects -- Decision Tree Construction
by Association Rules -- Learning Complex Similarity Measures -- Graphical Programming in Statistics: The XGPL Prototype -- 3: Management Science, Marketing, and Finance -- Measuring Brand Loyalty on the Individual Level: a Comparative
Study -- Facility Location Planning with Qualitative Location Factors -- Testing the Multinomial Logit Model -- Time Optimal Portfolio Selection: Mean-variance-efficient Sets for Arithmetic and Geometric Brownian Price Processes --
Analyzing Multigroup Data with Structural Equation Models -- Validity of Customized and Adaptive Hybrid Conjoint Analysis -- Analysis of the Assessments of One’s Values Among Different Cohorts in Age and Sex by Multidimensional Scaling
-- Impacts of Hedging with Futures on Optimal Production Levels -- How to Integrate Stock Price Jumps into Portfolio Selection -- A Multivariate GARCH-M Model for Exchange Rates in the US, Germany and Japan -- A Model for Constructing
Quadratic Objective Functions and its Applications to Price Adjustments -- 4: Biology, Genome Analysis, and Medicine -- Phylogeny Inference by Minimum Conflict -- Detecting Change-Points in Aircraft Noise Effects -- A Generalized
Estimating Equations Approach to Quantifying the Influence of Meteorological Conditions on Hand Dermatitis -- Discrimination in Paired Data Situations -- Classification of Multidimensional Visual Field Data for Glaucoma Diagnosis --
Quality of Life of Cancer Patients: A Multi-set Analysis -- A New Approach on Nonparametric Repeated Measures Analysis of Variance -- 5: Text Analysis and Information Retrieval -- GERHARD (German Harvest Automated Retrieval and
Directory) -- Automatic Labelling of References for Internet Information Systems -- Architecture and Retrieval Methods of a Search Assistant for Scientific Libraries -- Computer Aided Evaluations of Linguistic Atlases: Prom Automatic
Classification to Dialectometry -- Structured Phrases for Indexing and Retrieval of Research Topics -- Author and Subject Index
ISBN:9783642572807
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Information technology , Business , Data structures (Computer science) , Probabilities , Statistics , Econometrics , Computer Science , Data Structures, Cryptology and Information Theory , Econometrics , IT in Business , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-2000-9781475749199:ONLINE Show nearby items on shelf
Title:Decision Making: Recent Developments and Worldwide Applications
Author(s):
Date:2000
Size:1 online resource (494 p.)
Note:10.1007/978-1-4757-4919-9
Contents:1. Management Information Systems -- Empirical assessment of information technology chargeback systems decisions -- Lessons learnt from the successful adoption of an ERP: The central role of trust -- Simultaneous analysis of
heterogenous databases on the web: The ADDSIA project -- 2. Education Innovations & Distance Learning -- Decision support for the management of admissions to academic programs -- The use of tacit knowledge in selection decisions in
universities -- 3. International Business -- Role of political violence in foreign direct investment decisions -- On the stability of countries’ national technological systems -- 4. Marketing -- Marketing of differentiated fresh
produce -- A decision support system for the seller’s return problem in the product line design -- 5. Finance and Banking -- Portfolio performance measures: A brief survey and hypothesis testing -- A system dynamics model of stock
price movements -- Information effects on the accuracy of neural network financial forecasting -- Is the Taiwan stock market efficient? -- The dynamics of implied volatility surfaces -- Application of nonstationary Markovian models to
risk management in automobile leasing -- 6. Optimization & Decision Making -- Decision making Under Various Types of Uncertainty -- Decision aid in the optimization of the interval objective function -- A fuzzy extension of a mixed
integer MOLP model for solving the power generation expansion problem -- Management science for marine petroleum logistics -- 7. Multi-Criteria Decision Analysis, Aid & Practice -- Dealing with missing data in rough set analysis of
multi-attribute and multi-criteria decision problems -- Cardinal value measurement with MACBETH -- Inferring a multicriteria preference model for rural development projects evaluation -- An adaptable framework for educational software
evaluation -- Assessing country risk using a multi—group discrimination method: A comparative analysis -- 8. Decision Support Systems and Information Technology -- RODOS: Decision support for nuclear emergencies -- DSS for the
evaluation of national IT infrastructure investments: A study of cable television in Greece -- Global IT outsourcing decisions: Contract structure, negotiations, and global deal teams -- Using Internet multimedia database information
systems for decision support in conservation planning -- An interactive workload and risk balancing model and decision support system for probationer assignment -- 9. Health Care Planning & Hospital Operations -- A goal programming
scheme to determine the budget assignment among the hospitals of a sanitary system -- A simulation model to evaluate the interaction between acute, rehabilitation, long stay care and the community -- Author Index
ISBN:9781475749199
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 45
Keywords: Business , Management , Operations research , Decision making , Finance , Data structures (Computer science) , Business and Management , Operation Research/Decision Theory , Management , Finance, general , Data Structures, Cryptology and Information Theory
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1999-9783642601873:ONLINE Show nearby items on shelf
Title:Classification in the Information Age Proceedings of the 22nd Annual GfKl Conference, Dresden, March 4–6, 1998
Author(s):
Date:1999
Size:1 online resource (608 p.)
Note:10.1007/978-3-642-60187-3
Contents:Plenary and Semi Plenary Presentations -- Classification and Information -- Scientific Information Systems and Metadata -- Multiple Expert Fusion -- How To Make a Multimedia Textbook and How to Use It -- Clustering and Neural Network
Approaches -- Data Model and Classification by Trees -- A Framework for the Design, Development and Evaluation of Multimedia Based Learning Environments: ”ISTOS: An Application in the Computer Networking Domain” -- Natural and
Constrained Classification of Data by Fuzzy Clustering Techniques -- Finance and Risk -- From Variance to Value at Risk: A Unified Perspective on Standardized Risk Measures -- Does the Planning Horizon Affect the Portfolio Structure?
-- Statistical Approach in Financial Risk Analysis and Management — Review of Concepts -- Classification and Related Aspects of Data Analysis and Learning -- Classification, Data Analysis, and Statistics -- On Data-Based Checking of
Hypotheses in the Presence of Uncertain Knowledge -- Multivariate Directional Tests with Incomplete Data -- Classification and Positioning of Data Mining Tools -- Hazard Rate Estimation from Censored Data -- A Sequential Modification
of EM Algorithm -- Analysis of the Stability of Clusters of Variables via Bootstrap -- Models and Methods for Clusterwise Linear Regression -- Statistical Clustering Under Distortions: Optimality and Robustness -- Discrete Scan
Statistics for Detecting Change-points in Binomial Sequences -- Dynamic Confinement, Classification, and Imaging -- Approximation of Distributions by Sets -- Computation of the Minimum Covariance Determinant Estimator -- Graphical
Tools for the Detection of Multiple Outliers in Spatial Statistics Models -- Classification for Repeated Measurements in Gaussian and Related Populations -- Optimal vs. Classical Linear Dimension Reduction -- Testing for the Number of
States in Hidden Markov Models with Application to Ion Channel Data -- ClustanGraphics3: Interactive Graphics for Cluster Analysis -- Conceptual Analysis and Learning -- Conceptual Meaning of Clusters -- Group Theoretical Structures
for Representing Data Contexts -- The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions -- Efficient State-Space Representation by Neural Maps for Reinforcement
Learning -- Match-Gaphs of Random Digraphs -- An Improved Training Method for Feed-Forward Neural Networks -- Decision Support By Order Diagrams -- Neural Network Classification in Exponential Models with Unknown Statistics --
Conceptual Landscapes of Knowledge: A Pragmatic Paradigm for Knowledge Processing -- Usage of New Media and the Internet -- Information Systems, Multimedia, and WWW -- Remote Data Analysis Using Java -- Metrics for World Wide Web
Information Systems -- Modeling Concepts for Flexible Workflow Support -- Navigation and Classification on the Internet and Virtual Universities -- Visualization and Categorization of Cached Hypermedia Data -- Virtualization of Course
Structures Through Adaptive Internet Techniques -- Navigation in Cyberspace Using Multi-Dimensional Scaling to Create Three-dimensional Navigational Maps -- Structured Documentation. An Approach to Identify and Model Knowledge
Components for Learning Purposes -- Applications in Economics -- Finance, Capital, and Risk Management -- Measurement of the Probability of Insolvency with Mixture-of-Experts Networks -- An Application of Methods of Multivariate Data
Analysis to Compare Different Approaches to Exchange Rate Forecasting -- Intelligent Software Agents: Current Technology and Potential Impact on Electronic Markets and Intermediaries -- Clustering of Stocks in Risk Context -- Measuring
Risk in Value-at-Risk Based on Student’s t-Distribution -- Using ANN to Estimate VaR -- Forecasting Discretized Daily USD/DEM Exchange Rate Movements with Quantitative Models -- Study Major Choice — Factor Preference Measurement --
What is “Incentive Compatibility”? -- Marketing and Market Research -- An Integrative Approach for Product Development and Customer Satisfaction Measurement -- Market Segmentation and Profiling Using Artificial Neural Networks -- A
Classification Approach for Competitive Pricing -- Panel-Data Based Competitive Market Structure and Segmentation Analysis Using Self-Organizing Feature Maps -- Analysis of A Priori Defined Groups in Applied Market Research -- Modeling
and Measuring of Competitive Reactions to Changes of Marketing Mix at the Retail Level -- Applications in Archeology, Bioinformatics, Environment, and Health -- Bayesian Statistics for Archaeology -- Investigating Information Retrieval
with the Environmental Thesaurus of the Umweltbundesamt -- Data Mining with a Neuro-Fuzzy Model for the Ozone Prognosis -- Attributing Shares of Risk to Grouped or Hierarchically Ordered Factors -- New Hypotheses and Tests for the
Multivariate Bioequivalence Problem -- Diagnostic Support in Allergology Using Interactive Learning Classifier Systems -- On Nonparametric Repeated Measures Analysis of Variance
ISBN:9783642601873
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business mathematics , Data structures (Computer science) , Computers , Statistics , Economic theory , Econometrics , Economics , Economic Theory/Quantitative Economics/Mathematical Methods , Econometrics , Business Mathematics , Statistics for Business/Economics/Mathematical Finance/Insurance , Data Structures , Information Systems and Communication Service
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1998-9783662011317:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics 13th Symposium held in Bristol, Great Britain, 1998
Author(s):
Date:1998
Size:1 online resource (501 p.)
Note:10.1007/978-3-662-01131-7
Contents:Keynote Papers -- Analysis of Clustered Multivariate Data from Developmental Toxicity Studies -- Wavelets in Statistics: Some Recent Developments -- Invited Papers -- Mortality Pattern Prediction in Worker Cohorts -- Design Algorithms
for Correlated Data -- (Co)Variance Structures for Linear Models in the Analysis of Plant Improvement Data -- Optimal Scaling Methods for Graphical Display of Multivariate Data -- Computer-Assisted Statistics Teaching in Network
Environments -- Modelling Bacterial Genomes Using Hidden Markov Models -- MCMC Specifics for Latent Variable Models -- Exploratory Versus Decision Trees -- Exploring Time Series Using Semi- and Nonparametric Methods -- Time Series
Forecasting by Principal Component Methods -- Contributed Papers -- A Simulation Study of Indirect Prognostic Classification -- Model Search: An Overview -- Speeding up the Computation of the Least Quartile Difference Estimator --
Piece-wise Detection of Spinal Scoliosis -- A Comparison of Recent EM Accelerators within Item Response Theory -- Gröbner Basis Methods in Polynomial Modelling -- Analysis of High Dimensional Data from Intensive Care Medicine --
Fitting Non-Gaussian Time Series Models -- Using Singular Value Decomposition in Non-Linear Regression -- A Modelling Approach for Bandwidth Selection in Kernel Density Estimation -- A New Method for Cross-Classification Analysis of
Contingency Data Tables -- Bayesian Analysis of Overdispersed Count Data with Application to Teletraffic Monitoring -- An Alternative Pruning Method Based on the Impurity-Complexity Measure -- Bayesian Inference for Mixture: The Label
Switching Problem -- Simulation of Multifractional Brownian Motion -- Simulating Categorical Data from Spatial Models -- Robust Factorization of a Data Matrix -- Spatial Clustering Techniques: An Experimental Comparison -- A Visual
Environment for Designing Experiments -- Essay of a Dynamic Regression by Principal Components Model for Correlated Time Series -- Traffic Models for Telecommunication -- Construction of Non-Standard Row-Column Designs -- Computational
Statistics for Pharmacokinetic Data Analysis -- Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children Using BASSIST -- Algorithms for Robustified Error-in-Variables Problems -- Idaresa — a Tool for
Construction, Description and Use of Harmonised Datasets from National Surveys -- LLAMA: an Object-Oriented System for Log Multiplicative Models -- Using Threshold Accepting to Improve the Computation of Censored Quantile Regression --
On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm -- Parameter Estimators for Gaussian Models with Censored Time Series and Spatio-Temporal Data -- Assessing the Multimodality of a Multivariate
Distribution Using Nonparametric Techniques -- Bayesian Signal Restoration and Model Determination for Ion Channels -- ARGUS, Software Packages for Statistical Disclosure Control -- Building End-User Statistical Applications: An
Example Using STABLE -- On Multiple Window Local Polynomial Approximation with Varying Adaptive Bandwidths -- Minimization of Computational Cost in Tree-Based Methods by a Proper Ordering of Splits -- Stable Multivariate Procedures —
Strategies and Software Tools -- An Alternating Method to Optimally Transform Variables in Projection Pursuit Regression -- Predicting from Unbalanced Linear or Generalized Linear Models -- MCMC Solution to Circle Fitting in Analysis
of RICH Detector Data -- A Visual Future for Statistical Computing -- Development of Statistical Software SAMMIF for Sensitivity Analysis in Multivariate Methods -- Data Imputation and Nowcasting in the Environmental Sciences Using
Clustering and Connectionist Modelling -- Graphical User Interface for Statistical Software Using Internet -- A Wavelet Approach to Functional Principal Component Analysis -- Quasi-Monte Carlo EM Algorithm for MLEs in Generalized
Linear Mixed Models -- Applications of Smoothed Monotone Regression Splines and Smoothed Bootstrapping in Survival Analysis -- Comparing the Fits of Non-Nested Non-Linear Models -- The Deepest Fit -- Partially Linear Models: A New
Algorithm and some Simulation Results -- Induction of Graphical Models from Incomplete Samples -- Locally and Bayesian Optimal Designs for Binary Dose-Response Models with Various Link Functions -- Statistics Training and the Internet
-- Jointly Modelling Longitudinal and Survival Data -- Representing Solar Active Regions with Triangulations -- A General Form for Specification of Correlated Error Models, with Allowance for Heterogeneity -- Exploratory Data Analysis
with Linked Dotplots and Histograms -- An Object-Oriented Approach to Local Computation in Bayes Linear Belief Networks -- Index of Authors -- Index of Keywords
ISBN:9783662011317
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Information technology , Business , Computer science , Statistics , Statistics and Computing/Statistics Programs , Math Applications in Computer Science , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1997-9781475727197:ONLINE Show nearby items on shelf
Title:Modern Applied Statistics with S-PLUS
Author(s): W. N Venables
Date:1997
Edition:Second Edition
Size:1 online resource (549 p.)
Note:10.1007/978-1-4757-2719-7
Contents:1 Introduction -- 2 The S Language -- 3 Graphical Output -- 4 Programming in S -- 5 Distributions and Data Summaries -- 6 Linear Statistical Models -- 7 Generalized Linear Models -- 8 Robust Statistics -- 9 Non-linear Models -- 10
Random and Mixed Effects -- 11 Modern Regression -- 12 Survival Analysis -- 13 Multivariate Analysis -- 14 Tree-based Methods -- 15 Time Series -- 16 Spatial Statistics -- 17 Classification -- Appendices -- A Datasets and Software --
A.1 Libraries -- A.2 Caveat -- B Common S-PLUS Functions -- C Using S-PLUS Libraries -- C.1 Sources of libraries -- C.2 Creating a library section -- References
ISBN:9781475727197
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Probabilities , Mathematics , Probability Theory and Stochastic Processes , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1997-9781461222620:ONLINE Show nearby items on shelf
Title:The SPSS Guide to the New Statistical Analysis of Data
Author(s): T. W Anderson
Date:1997
Size:1 online resource (203 p.)
Note:10.1007/978-1-4612-2262-0
Contents:I: Introduction -- 1 The Nature of SPSS -- II: Descriptive Statistics -- 2 Organization of Data -- 3 Measures of Location -- 4 Measures of Variability -- 5 Summarizing Multivariate Data: Association Between Numerical Variables -- 6
Summarizing Multivariate Data: Association Between Categorical Variables -- III: Probability -- 7 Basic Ideas of Probability -- 8 Probability Distributions -- 9 Sampling Distributions -- IV: Statistical Inference -- 10 Using a Sample
to Estimate Characteristics of One Population -- 11 Answering Questions About Population Characteristics -- 12 Differences Between Two Populations -- 13 Variability in One Population and in Two Populations -- V: Statistical Methods for
Other Problems -- 14 Inference on Categorical Data -- 15 Simple Regression Analysis -- 16 Comparisons of Several Populations -- Appendix Data Files
ISBN:9781461222620
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Information technology , Business , Probabilities , Statistics , Statistics, general , Probability Theory and Stochastic Processes , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1995-9789401106153:ONLINE Show nearby items on shelf
Title:Advanced LIMS Technology Case Studies and Business Opportunities
Author(s):
Date:1995
Size:1 online resource (247 p.)
Note:10.1007/978-94-011-0615-3
Contents:1 LIMS: An automating or informating technology? -- 1.1 Introduction -- 1.2 Current LIMS fail to meet business requirements -- 1.3 Current LIMS automate data management functions -- 1.4 New LIMS will informate, not automate -- 1.5
Architecture of an informating system -- 1.6 Making IT happen -- References -- 2 A model for a comprehensive LIMS -- 2.1 Introduction -- 2.2 Strategic design of a LIMS -- 2.3 What is a LIMS? -- 2.4 An architecture for a comprehensive
LIMS -- 2.5 A LIMS model -- 2.6 Definition of a LIMS -- 2.7 Detailed classification of LIMS functions -- 2.8 Applying the LIMS model: the selection of a commercial LIMS -- 2.9 LIMS standards -- 2.10 Summary -- References -- 3 LIMS in a
forensic laboratory -- 3.1 Introduction -- 3.2 Objectives of a LIMS -- 3.3 The system -- 3.4 The future -- 3.5 Conclusions -- Acknowledgement -- 4 Application of a LIMS in a pharmaceutical drug metabolism and pharmacokinetics
laboratory -- 4.1 Introduction -- 4.2 Study objectives in drug metabolism and pharmacokinetics -- 4.3 Configuration of the database -- 4.4 LabManager in use -- 4.5 The future -- References -- 5 Use of protocol-synchronous LIMS
structures to expand the role of the centralized clinical trial laboratory in pharmaceutical research -- 5.1 Introduction -- 5.2 The expanding role of the central laboratory in pharmaceutical research -- 5.3 Comparing traditional and
protocol-synchronous LIMS structures in the clinical trial laboratory -- 5.4 Defining protocol-driven time and events using a multidimensional matrix -- 5.5 Managing protocol-driven time and events using matrix-dependent control
structures -- 5.6 Managing protocol-driven time and events using matrix-dependent output structures -- 5.7 Summary -- 6 Medical Laboratory Information Systems (LIS) -- 6.1 History of clinical laboratory computerization -- 6.2
Computerization and automation of the ‘testing process’ -- 6.3 How computers function in the clinical laboratory -- 6.4 Acquisition of a LIS -- 6.5 Future of laboratory information systems -- References -- 7 EPA’s Relational Laboratory
Information Management System: Development and implementation -- 7.1 Introduction -- 7.2 Development -- 7.3 Implementation -- 7.4 Conclusions -- References -- 8 LIMS to robotics interface: A practical approach -- 8.1 Introduction --
8.2 The case for automation -- 8.3 Role of a Laboratory Information Management System -- 8.4 Sample planning and scheduling -- 8.5 Auditability -- 8.6 Information transferred via the interfaces -- 8.7 Laboratory Information Management
System network -- 8.8 Analytical process automation -- 8.9 Impact on the laboratory working environment -- References -- 9 Interfacing the real world to LIMS -- 9.1 Introduction -- 9.2 The analysis procedure -- 9.3 Beckman -- 9.4
Hewlett Packard -- 9.5 LabSystems (Fisons Instruments) -- 9.6 The future -- Acknowledgements -- 10 Replacement LIMS: Moving forward or maintaining the status quo -- 10.1 Introduction -- 10.2 Why change? -- 10.3 Why not change? -- 10.4
How long should a LIMS last? -- 10.5 How do you justify a replacement LIMS? -- 10.6 Would a custom system be better? -- 10.7 Support your vendor -- 10.8 How to implement a replacement LIMS -- 11 The promise of client—server LIMS
applications -- 11.1 Introduction -- 11.2 Review of LIMS development over the last ten years — the story so far -- 11.3 Current trends -- 11.4 Regulatory requirements -- 11.5 Standards for systems analysis and construction of
information systems -- 11.6 Understanding the user -- 11.7 Meeting the requirements with appropriate technology: The challenge facing client-server technology -- 11.8 Discussion of relationships and issues -- 11.9 Systems analysis,
construction of information systems and process re-engineering -- 11.10 Software development -- 11.11 Communications -- 11.12 Implementing client-server technology -- 11.13 Conclusions -- 11.14 The way forward? -- References -- 12
Standards for analytical laboratory data communications, storage, and archival -- 12.1 Introduction -- 12.2 Standards investment and payback -- 12.3 The ADISS Program -- 12.4 Application of the ADISS Information Model to chromatography
-- 12.5 Future ADISS extensions for chromatography and other techniques -- 12.6 Future influence of ADISS standards on LIMS in R&D -- 12.7 The influence of standards on market dynamics -- 12.8 Summary and recommendations -- Note --
References
ISBN:9789401106153
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistics for Life Sciences, Medicine, Health Sciences , Statistics, general
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1995-9781489933867:ONLINE Show nearby items on shelf
Title:Business Research Projects
Author(s): A. D Jankowicz
Date:1995
Edition:Second edition
Size:1 online resource (313 p.)
Note:10.1007/978-1-4899-3386-7
Contents:1 Getting Started -- 1 Introduction -- 2 The purpose and objectives of a project -- 3 Choosing a topic -- 4 Standards of assessment -- 5 Getting organized for takeoff -- 2 Key Issues in Depth -- 6 What is research anyway? -- 7 The
role you’re in -- 8 Reviewing and using the literature -- 3 A Guide to Empirical Work -- 9 Planning empirical work -- 10 Methods and techniques -- 11 Semi-structured, open-ended techniques -- 12 Fully structured techniques -- 13
Further techniques -- 14 Writing it up
ISBN:9781489933867
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Science , Operations research , Management science , Mathematics , Operations Research, Management Science , Science, general
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1994-9781489928191:ONLINE Show nearby items on shelf
Title:Modern Applied Statistics with S-Plus
Author(s): W. N Venables
Date:1994
Size:1 online resource (462 p.)
Note:10.1007/978-1-4899-2819-1
Contents:1 Introduction -- 2 The S Language -- 3 Graphical Output -- 4 Programming in S -- 5 Distributions and Data Summaries -- 6 Linear Statistical Models -- 7 Generalized Linear Models -- 8 Robust Statistics -- 9 Non-linear Regression
Models -- 10 Modern Regression -- 11 Survival Analysis -- 12 Multivariate Analysis -- 13 Tree-based Methods -- 14 Time Series -- 15 Spatial Statistics -- References -- Appendices -- A Datasets and Software -- A.1 Directories -- A.2
Sources of machine-readable versions -- A.3 Caveat -- B Common S-PLUS Functions -- C S versus S-PLUS -- D Using S Libraries -- D.1 Creating a library -- D.2 Sources of libraries -- E Command Line Editing -- F Answers to Selected
Exercises
ISBN:9781489928191
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Information technology , Business , Probabilities , Complexity, Computational , Statistics , Statistics, general , Probability Theory and Stochastic Processes , IT in Business , Complexity
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1990-9781461389057:ONLINE Show nearby items on shelf
Title:The Collected Economics Articles of Harold Hotelling
Author(s):
Date:1990
Size:1 online resource (178 p.)
Note:10.1007/978-1-4613-8905-7
Contents:The Life and Economic Thought of Harold Hotelling -- Bibliography of Harold Hotelling -- Reprints of the Published Economics Papers by Harold Hotelling -- 1925 A general mathematical theory of depreciation. Journal of the American
Statistical Association, 20, 340–53. -- 1929 Stability in competition. Economic Journal, 39, 41–57. -- 1931 The economics of exhaustible resources. Journal of Political Economy, 39, 137–75. -- 1932 Edgeworth’s taxation paradox and the
nature of demand and supply functions. Journal of Political Economy, 40, 577–616. -- 1933 Note on Edgeworth’s taxation phenomenon and Professor Garver’s additional condition on demand functions. Econometrica, 1, 408–9. -- 1935 Demand
functions with limited budgets. Econometrica, 3, 66–78. -- 1936 Curtailing production is anti-social. Columbia Alumni News, 28(4), 3 and 16. -- 1938 The general welfare in relation to problems of taxation and of railway and utility
rates. Econometrica, 6, 242–69. -- 1939 The relation of prices to marginal costs in an optimum system. Econometrica, 7, 151–6. -- 1939 A final note. Econometrica, 7, 158–60. -- 1943 Income-tax revision as proposed by Irving Fisher.
Econometrica, 11, 83–7
ISBN:9781461389057
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Information technology , Business , Application software , Regional economics , Spatial economics , Mathematics , Mathematics, general , Regional/Spatial Science , Computer Applications , IT in Business
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1989-9783642613128:ONLINE Show nearby items on shelf
Title:Linear Systems and Optimal Control
Author(s): Charles K Chui
Date:1989
Size:1 online resource (155 p.)
Note:10.1007/978-3-642-61312-8
Contents:1. State-Space Descriptions -- 1.1 Introduction -- 1.2 An Example of Input-Output Relations -- 1.3 An Example of State-Space Descriptions -- 1.4 State-Space Models -- Exercises -- 2. State Transition Equations and Matrices -- 2.1
Continuous-Time Linear Systems -- 2.2 Picard’s Iteration -- 2.3 Discrete-Time Linear Systems -- 2.4 Discretization -- Exercises -- 3. Controllability -- 3.1 Control and Observation Equations -- 3.2 Controllability of Continuous-Time
Linear Systems -- 3.3 Complete Controllability of Continuous-Time Linear Systems -- 3.4 Controllability and Complete Controllability of Discrete-Time Linear Systems -- Exercises -- 4. Observability and Dual Systems -- 4.1 Observability
of Continuous-Time Linear Systems -- 4.2 Observability of Discrete-Time Linear Systems -- 4.3 Duality of Linear Systems -- 4.4 Dual Time-Varying Discrete-Time Linear Systems -- Exercises -- 5. Time-Invariant Linear Systems -- 5.1
Preliminary Remarks -- 5.2 The Kalman Canonical Decomposition -- 5.3 Transfer Functions -- 5.4 Pole-Zero Cancellation of Transfer Functions -- Exercises -- 6. Stability -- 6.1 Free Systems and Equilibrium Points -- 6.2 State-Stability
of Continuous-Time Linear Systems -- 6.3 State-Stability of Discrete-Time Linear Systems -- 6.4 Input-Output Stability of Continuous-Time Linear Systems -- 6.5 Input-Output Stability of Discrete-Time Linear Systems -- Exercises -- 7.
Optimal Control Problems and Variational Methods -- 7.1 The Lagrange, Bolza, and Mayer Problems -- 7.2 A Variational Method for Continuous-Time Systems -- 7.3 Two Examples -- 7.4 A Variational Method for Discrete-Time Systems --
Exercises -- 8. Dynamic Programming -- 8.1 The Optimality Principle -- 8.2 Continuous-Time Dynamic Programming -- 8.3 Discrete-Time Dynamic Programming -- 8.4 The Minimum Principle of Pontryagin -- Exercises -- 9. Minimum-Time Optimal
Control Problems -- 9.1 Existence of the Optimal Control Function -- 9.2 The Bang-Bang Principle -- 9.3 The Minimum Principle of Pontryagin for Minimum-Time Optimal Control Problems -- 9.4 Normal Systems -- Exercises -- 10. Notes and
References -- 10.1 Reachability and Constructibility -- 10.2 Differential Controllability -- 10.3 State Reconstruction and Observers -- 10.4 The Kalman Canonical Decomposition -- 10.5 Minimal Realization -- 10.6 Stability of Nonlinear
Systems -- 10.7 Stabilization -- 10.8 Matrix Riccati Equations -- 10.9 Pontryagin’s Maximum Principle -- 10.10 Optimal Control of Distributed Parameter Systems -- 10.11 Stochastic Optimal Control -- References -- Answers and Hints to
Exercises -- Notation
ISBN:9783642613128
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Series in Information Sciences: 18
Keywords: Mathematics , Information technology , Business , Geophysics , System theory , Calculus of variations , Complexity, Computational , Economic theory , Mathematics , Systems Theory, Control , Calculus of Variations and Optimal Control Optimization , Geophysics/Geodesy , Economic Theory/Quantitative Economics/Mathematical Methods , IT in Business , Complexity
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1983-9783642483271:ONLINE Show nearby items on shelf
Title:Technology, Organization and Economic Structure Essays in Honor of Prof. Isamu Yamada
Author(s):
Date:1983
Size:1 online resource (200 p.)
Note:10.1007/978-3-642-48327-1
Contents:I: Organization: Micro and Macro -- Production Functions in the Analysis of Organizational Structure -- Revenue Maximization and Optimal Capital Policies of a Regulated Firm -- The Characteristics of Japanese Enterprises and their
Financing -- Public Management: Does it Exist? How do you do it? -- Macroeconomic Foundations of Macroeconomics -- Notes on Reaganomics -- II: Economic Structure -- Economics of Incentives: An Introductory Account -- Economic
Equilibrium under Price Rigidities and Quantity Constraints -- A Necessary and Sufficient Condition for a Continuously Rational Social Choice -- The Behavior of Resource Explorating Firm Under Stochastic World -- Note on the Kakwani
and Podder Method of Fitting Lorenz Curves -- Alternative Matrix Consistent Methods of Multilateral Comparisons for Real Product and Prices -- III: Technology -- Differentiable Manifolds and Economic Structures -- On the Local
Conservation Laws in the Von Neumann Model -- Economic Growth and Biased Technical Change: The Japanese Experience -- Notes on Exact Aggregation -- Invariance Principle and “G-Neutral” Types of Technical Change -- A Bibliography of the
Work of Professor Isamu Yamada
ISBN:9783642483271
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Economics and Mathematical Systems: 210
Keywords: Mathematics , Business , Management science , Probabilities , Statistics , Economic theory , Mathematics , Probability Theory and Stochastic Processes , Economic Theory/Quantitative Economics/Mathematical Methods , Business and Management, general , Statistics, general
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1983-9781461255109:ONLINE Show nearby items on shelf
Title:The Future of College Mathematics Proceedings of a Conference/Workshop on the First Two Years of College Mathematics
Author(s):
Date:1983
Size:1 online resource (278 p.)
Note:10.1007/978-1-4612-5510-9
Contents:Papers -- An Overview of the Arguments Concerning the Development of a New Curriculum -- Who Takes Elementary Mathematics Courses? Why? A Guess, and Some Problems for Change -- Symbolic Manipulation and Algorithms in the Curriculum of
the First Two Years -- Problem Solving and Modeling in the First Two Years -- The Mathematical Needs of Students in the Physical Sciences -- Engineering Needs and the College Mathematics Core -- The First Two Years of Mathematics at a
University as It Relates to the Mathematical Needs of Students in the Social Sciences -- Mathematics in Business and Management -- Mathematics Curriculum and the Needs of Computer Science -- Developing Mathematical Maturity -- A
Two-Year Lower-Division Mathematics Sequence -- How to Cure the Plague of Calculus (or Revisions in the Introductory Mathematics Curriculum) -- Principles for a Lower-Division Discrete-Systems-Oriented Mathematics Sequence --
Statistics in the Two-Year Curriculum -- The Effects of a New College Mathematics Curriculum on High School Mathematics -- The Effect of a New Discrete Mathematics Curriculum on the Training of Teachers of Mathematics -- The Impact of
a New Curriculum on Remedial Mathematics -- Finite Mathematics — Then and Now -- Problems of Implementing a New Mathematics Curriculum -- Problems in Instituting a New Mathematics Curriculum at a University -- Arithmetic in the
Computer/Calculator Age -- Workshop Reports -- A Lower-Division Mathematics Curriculum Consisting of a Year of Calculus and a Year of Discrete Mathematics -- An Integrated Two-Year Curriculum -- Implementation
ISBN:9781461255109
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Science education , Mathematics , Mathematics, general , Science Education
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1982-9783642464621:ONLINE Show nearby items on shelf
Title:Compilation of Input-Output Tables Proceedings of a Session of the 17th General Conference of the International Association for Research in Income and Wealth, Gouvieux, France, August 16 – 22, 1981
Author(s):
Date:1982
Size:1 online resource (307 p.)
Note:10.1007/978-3-642-46462-1
Contents:List of Contents -- I. — Systems of Input-Output Statistics -- Problems of Input-Output Accounting -- Compilation of Input-Output Tables: Canada -- Problems in the Compilation of Input-Output Tables in the Netherlands -- Compilation
of Input-Output Tables in Norway -- Techniques in the Compilation of Danish Input-Output Tables: A new Approach to the Treatment of Imports -- II. — Special Problems of Input-Output Statistics -- Connecting National Accounts and
Input-Output Tables in the Federal Republic of Germany -- Two Methods of Elaborating Input-Output Tables -- The Compilation of Input-Output Tables in Developing Countries -- The Value Added Tax within the Framework of Make-and Use
Matrices — The Austrian Approach -- Problems of Identifying and Measuring Intermediate Services in the Compilation and Use of Input-Output Tables
ISBN:9783642464621
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Economics and Mathematical Systems: 203
Keywords: Statistics , Information technology , Business , Economic theory , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , IT in Business , Economic Theory/Quantitative Economics/Mathematical Methods
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:SPRINGER-1981-9781468410808:ONLINE Show nearby items on shelf
Title:Energy Policy Planning
Author(s):
Date:1981
Size:1 online resource (468 p.)
Note:10.1007/978-1-4684-1080-8
Contents:Overview -- Methodological Issues -- Operational Issues -- Conclusions and Recommendations -- Keynote Address: One Statistician’s Observations Concerning Energy Modeling -- Use of Models in Decision Making -- Use of Models in Decision
Making -- Use of Models in Decision Making -- Working Group 1: Energy Model and Data Support and Operation -- Working Group 2: Methods for Model Evaluation -- Working Group 3: Technical Structure of Energy Models -- Working Group 4:
The Communication Problem in Energy Policy Analysis -- Resource Modeling: Problems in the State of the Art -- Energy Models and Technology Assessment -- The Development of Electricity in the Future French Energy Balance: An Example of
Readjustment -- Comments on the Papers Presented in the Session on Supply Modeling -- Modeling Energy Demand in the Short Term and the Midterm: The EIA Experience -- Modeling Production and Pricing within an Interindustry Framework --
Use of Energy Models for Business Decisions -- Energy Demand Analysis and Modeling -- Discussion of the Session on Demand Modeling -- Survey of Present Energy Models with Particular Reference to the European Community -- Model
Comparison for Energy Policy and Planning -- An integrated Energy Modeling Approach: Experience at IIASA -- Capital, Energy, and Labor Cross-Substitution Elasticities in a Developing Country: The Case of Greek Manufacturing --
Discussion of Papers Presented in Comprehensive/Integrated Modeling Systems Session -- A Progress Report on the Development of Generalized Equilibrium Modeling -- The Strategic Petroleum Reserve: How Large Should It Be? -- An
Examination of Econometric Energy Modeling and Comparision with Alternative Methodologies -- Multiobjective Energy Analysis -- Validation and Assessment Issues of Energy Models -- Implementation Aspects of Model Management: A Focus on
Computer-Assisted Analysis -- NATO Advanced Research Institute on the Application of Systems Science to Energy Planning: Organization and Participants
ISBN:9781468410808
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Nato Conference Series : 9
Keywords: Business , Operations research , Decision making , Business and Management , Operation Research/Decision Theory
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Full Text:Click here
Location: ONLINE

Cover
Image
Call number:BF773.D85::2008 Show nearby items on shelf
Title:Mindset: The new psychology of success
Author(s): Carol S. Dweck
Date:2008
Publisher:New York: Random House
Size:276 p.
Contents:1. The mindsets Why do people differ? What does all this mean for you? The two mindsets, A view from the two mindsets, So, what's new?, Self-insight: who has accurate views of their assets and limitations? What's in store -- 2. Inside the mindsets, I s success about learning, or proving you're smart? Mindsets change the meaning of failure, Mindsets change the meaning of effort, Questions and answers -- 3. The truth about ability and accomplishment, Mindset and school achievement, Is artistic ability a gift?, The danger of praise and positive labels, Negative labels and how they work -- 4. Sports: the mindset of a champion, The idea of the natural Character, What is success? What is failure? Taking charge of success What does it mean to be a star? Hea ring the mindsets --5. Business mindset and leadership Enron and the talent mindset Organizations that grow A study of mindset and management decisions Leadership and the fixed mindset Fixed-mindset leaders in action Growth-mindset leaders in action A study of group processes Groupthink versus we think The praised generation hits the workforce Are negotiators born or made? Corporate training: are managers born or made? Are leaders born or made?
6. Relationships: mindsets in love (or not) : Relationships are different Mindsets falling in love The partner as enemy Competition: who's the greatest? Developing in relationships Friendship Shyness Bullies and victims: revenge r evisited -- 7. Parents, teachers, and coaches: where do mindsets come from? : Parents (and teachers): messages about success and failure Teachers (and parents): what makes a great teacher (or parent)? Coaches: winning through mindset Our legacy - - 8. Changing mindsets : The nature of change The mindset lectures A mindset workshop Brainology More about change Taking the first step People who don't want to change Changing your child's mindset Mindset and willpower Maintai ning change The road ahead -- Recommended books
ISBN:9780345472328
Keywords: Belief and doubt. , Success Psychological aspects.
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
Click to reserve this book Be sure to include your ID please.
More info:Amazon.com
More info: Barnes and Noble
Location: MAIN

Return to the Fermilab Library catalog