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SPIRES-BOOKS: FIND KEYWORD RESEARCH,METHODOLOGY. *END*INIT* use /tmp/qspiwww.webspi1/19600.30 QRY 131.225.70.96 . find keyword research,methodology. ( in books using www Cover
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Call number:9783319424248:ONLINE Show nearby items on shelf
Title:Non-Equilibrium Social Science and Policy Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking
Author(s):
Date:2017
Size:1 online resource (VIII, 232 p p.)
Contents:Non-Equilibrium Social Science & Policy -- Economics -- Social Psychology and Narrative Economy -- Sociology and Non-Equilibrium Social Science -- Geography far from Equilibrium -- Cities in Disequilibrium -- The Evolutionary Theory
of Globalization -- Systems, Networks, and Policy -- Towards a Complexity-Friendly Policy: breaking the vicious circle of equilibrium thinking in economic and public policy -- The Information Economy -- Complexity Science & the Art of
Policy Making -- The Complexity of Government -- The Room Around the Elephant: Tackling Context-Dependency in the Social Sciences -- Global Systems Science and Policy -- Index.
ISBN:9783319424248
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Operations research , Decision making , Complexity, Computational , Economic theory , Social sciences , Physics , Data-driven Science, Modeling and Theory Building , Methodology of the Social Sciences , Economic Theory/Quantitative Economics/Mathematical Methods , Operation Research/Decision Theory , Complexity
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Call number:9780674974135:ONLINE Show nearby items on shelf
Title:Cycles of invention and discovery: rethinking the endless frontier
Author(s): Venkatesh Narayanamurti
Toluwalogo Odumosu
Date:2016
Publisher:Harvard University Press
Size:1 online resource (170 pages)
ISBN:9780674967960
Series:eBooks
Series:ProQuest ebrary
Keywords: Research, Methodology. , Science, Methodology , Technology, Research
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Call number:SPRINGER-2016-9783662484470:ONLINE Show nearby items on shelf
Title:Decoding the Mechanisms of Antikythera Astronomical Device
Author(s): Jian-Liang Lin
Date:2016
Edition:1st ed. 2016
Size:1 online resource (141 p.)
Note:10.1007/978-3-662-48447-0
Contents:A Sketch of Ancient Western Astronomy -- Ancient Astronomical Instruments -- Amazing Discovery of Archaeology -- Modern Reconstruction Research -- Reconstruction Design Methodology -- Reconstruction Designs of the Calendrical
Subsystem -- Reconstruction Designs of the Lunar Subsystem -- Reconstruction Designs of the Solar Subsystem -- Reconstruction Designs of the Planetary Subsystem -- Reconstruction Designs of the Moon Phase Display Device -- Assembly
Work and Models
ISBN:9783662484470
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , History , Science education , Machinery , Physics , History and Philosophical Foundations of Physics , Machinery and Machine Elements , Science Education , History of Science
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Call number:SPRINGER-2016-9783319271675:ONLINE Show nearby items on shelf
Title:Research Methodology The Aims, Practices and Ethics of Science
Author(s): Peter Pruzan
Date:2016
Edition:1st ed. 2016
Size:1 online resource (1 p.)
Note:10.1007/978-3-319-27167-5
Contents:Introduction -- Science -- Hypotheses, Theories and Laws -- Scientific Statements: Their Justification and Acceptance -- Measurement -- Experimentation -- Scientific Method and the Design of Research -- Uncertainty, Probability and
Statistics in Research -- Research -- Ethics and Responsibility in Scientific Research
ISBN:9783319271675
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Research , Science education , Physical measurements , Measurement , Statistics , Sociology , Physics , Measurement Science and Instrumentation , Research Ethics , Research Methodology , Statistics for Life Sciences, Medicine, Health Sciences , Science Education
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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
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Call number:SPRINGER-2014-9784431549741:ONLINE Show nearby items on shelf
Title:Applied Data-Centric Social Sciences [electronic resource] : Concepts, Data, Computation, and Theory
Author(s): Aki-Hiro Sato
Date:2014
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data onhuman activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book isconstructed from data-oriented investigation, wit h mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physicalconcepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that maychange peoples minds and cause them to start thinking from the basis of data. Several goals underli e the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end theauthor delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and da ta-generating mechanisms, as data are always provided by some kind of data-generating process in the real world.The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems
Contents:Introduction
Introduction
Framework
Methodology
Mathematical expressions
Data in computers
Exemplar studies
Risk assessment of extreme events
Segmentation study of foreign exchange market
Hotel booking data
Tendency of international air travels
Energy consumption
Future work
Future research in applied data
centric social sciences
ISBN:9784431549741
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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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
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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
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Call number:SPRINGER-2014-9783319042503:ONLINE Show nearby items on shelf
Title:A Kaizen Approach to Food Safety [electronic resource] : Quality Management in the Value Chain from Wheat to Bread
Author(s): Victoria Hill
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chaintransformation into b read. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the resultof management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to makethe HACCPs (Hazard Analysis and Critical Control Points) in f ood safety systems more robust
Contents:The Bread VC: Its Health Impact and Structure in France and the U.S
Government Regulation of Food Quality: International and in France and the U.S
Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S
Discussion of Literature Review and Preliminary Data Analysis
Modelling the Value Stream for Bread, Flour and Wheat Production
QFD Models of French and U.S. Wheat Management Practices
HACCP and VSM Models of French and U.S. Wheat Production Processes
Findings, Recommendations and Conclusion
ISBN:9783319042503
Series:eBooks
Series:SpringerLink
Series:Contributions to Management Science, 1431-1941
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Food science , Mathematical optimization , System safety , Operations research
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Call number:SPRINGER-2014-9783034807364:ONLINE Show nearby items on shelf
Title:Dispersive Equations and Nonlinear Waves [electronic resource] : Generalized Kortewegde Vries, Nonlinear Schrdinger, Wave and Schrdinger Maps
Author(s): Herbert Koch
Daniel Tataru
Monica Vian
Date:2014
Publisher:Basel : Springer Basel : Imprint: Birkhuser
Size:1 online resource
Note:The first part of the book provides an introduction to key tools and techniques in dispersive equations: Strichartz estimates, bilinear estimates, modulation and adapted function spaces, with an application to the generalizedKorteweg-de Vries equatio n and the Kadomtsev-Petviashvili equation. The energy-critical nonlinear Schrdinger equation, global solutions to the defocusing problem, and scattering are the focus of the second part. Using this concreteexample, it walks the reader through the inductio n on energy technique, which has become the essential methodology for tackling large data critical problems. This includes refined/inverse Strichartz estimates, the existence and almostperiodicity of minimal blow up solutions, and the development of long- time Strichartz inequalities. The third part describes wave and Schrdinger maps. Starting by building heuristics about multilinear estimates, it provides adetailed outline of this very active area of geometric/dispersive PDE. It focuses on concepts and id eas and should provide graduate students with a stepping stone to this exciting direction of research
ISBN:9783034807364
Series:eBooks
Series:SpringerLink
Series:Oberwolfach Seminars, 1661-237X : v45
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential equations, partial
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Call number:SPRINGER-2014-9781493903177:ONLINE Show nearby items on shelf
Title:Test Equating, Scaling, and Linking [electronic resource] : Methods and Practices
Author(s): Michael J Kolen
Robert L Brennan
Date:2014
Edition:3rd ed. 2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This book provides an introduction to test equating, scaling, and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statisticalprocedures, successful equating, scaling, and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests, and to interpret scores earned on tests. Test equating methods are used withmany standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized testsare reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or testsconstructed for different purposes. In recent years, researchers from the education, psychology, an d statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating,scaling, and linking. In addition to the literature covered in previous editions, this new edition presents coverage of signi ficant recent research. In order to assist researchers, advanced graduate students and testing professionals,examples are used frequently, and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth pres entation of chained linear and equipercentile equating, equating criteria, test scoring,and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * thepurposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing r
Contents:Introduction and Concepts
Observed Score Equating Using the Random Groups Design
Random Groups Smoothing in Equipercentile Equating
Nonequivalent Groups Linear Methods
Nonequivalent Groups Equipercentile Methods
Item Response Theory Methods
Standard Errors of Equating
Practical Issues in Equating
Score Scales
Linking
Appendices
Answers to Exercises
Computer Programs
Index
ISBN:9781493903177
Series:eBooks
Series:SpringerLink
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Educational tests and measurements , Psychometrics
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Call number:SPRINGER-2014-9781461491552:ONLINE Show nearby items on shelf
Title:Handbook on the History of Mathematics Education [electronic resource]
Author(s): Alexander Karp
Gert Schubring
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:This is the first comprehensive International Handbook on the History of Mathematics Education, covering a wide spectrum of epochs and civilizations, countries and cultures. Until now, much of the research into the rich and variedhistory of mathemati cs education has remained inaccessible to the vast majority of scholars, not least because it has been written in the language, and for readers, of an individual country. And yet a historical overview, howeverbrief, has become an indispensable element of nearly every dissertation and scholarly article. This handbook provides, for the first time, a comprehensive and systematic aid for researchers around the world in finding the informationthey need about historical developments in mathematics education, no t only in their own countries, but globally as well. Although written primarily for mathematics educators, this handbook will also be of interest to researchers of thehistory of education in general, as well as specialists in cultural and even social hist ory
Contents:Part 1. History and Methodology of the Field
1.On historiography of teaching and learning mathematics
2.The History of Mathematics Education: Developing a Research Methodology
Part 2.Mathematics Education in Different Epochs and in Different Regions: Antiquity and the Middle Ages
3.Mathematics Education in Antiquity
4.Mathematics Education in Oriental Antiquity and the Middle Ages
5.Teaching the Mathematical Sciences in Islamic Societies, 8th
17th Centuries
6.Mathematics Education in the European Middle Ages
Part 3.Mathematics Education in Different Epochs and in Differ
ISBN:9781461491552
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2013-9783642329586:ONLINE Show nearby items on shelf
Title:Understanding Viscoelasticity [electronic resource] : An Introduction to Rheology
Author(s): Nhan Phan-Thien
Date:2013
Edition:2nd ed. 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:This book presents an introduction to viscoelasticity in particular, to the theories of dilute polymer solutions and dilute suspensions of rigid particles in viscous and incompressible fluids. These theories are important, notjust because they apply to practical problems of industrial interest, but because they form a solid theoretical base upon which mathematical techniques can be built, from which more complex theories can be constructed, to better mimicmaterial behaviour. The emphasis is not on th e voluminous current topical research, but on the necessary tools to understand viscoelasticity at a first year graduate level. The main aim is to provide a still compact book, sufficient atthe level of first year graduate course for those who wish to und erstand viscoelasticity and to embark in modeling of viscoelastic multiphase fluids. To this end, a new chapter on Dissipative Particle Dynamics (DPD) was introducedwhich is relevant to model complex-structured fluids. All the basic ideas in DPD are revie wed, with some sample problems to illustrate the methodology
Note:Springer eBooks
Contents:Tensor Notation
Rheological Properties
Kinematics and Equations of Balance
Constitutive Equation
Inelastic Models and Linear Viscoelasticity
Steady Viscometric Flows
Polymer Solutions
Suspensions
DPD
Problems
ISBN:9783642329586
Series:e-books
Series:SpringerLink (Online service)
Series:Graduate Texts in Physics, 1868-4513
Series:Physics and Astronomy (Springer-11651)
Keywords: Polymers , Materials
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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
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Call number:SPRINGER-2013-9783642314360:ONLINE Show nearby items on shelf
Title:Complex Human Dynamics [electronic resource] : From Mind to Societies
Author(s): Andrzej Nowak
Katarzyna Winkowska-Nowak
David Bre
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:This book, edited and authored by a closely collaborating network of social scientists and psychologists, recasts typical research topics in these fields into the language of nonlinear, dynamic and complex systems. The aim is toprovide scientists wit h different backgrounds - physics, applied mathematics and computer sciences - with the opportunity to apply the tools of their trade to an altogether new range of possible applications. At the same time, thisbook will serve as a first reference for a new generation of social scientists and psychologists wishing to familiarize themselves with the new methodology and the thinking in complexity
Note:Springer eBooks
Contents:Preface
Dynamical Social Psychology: An Introduction
Understanding Cognition Through Functional Connectivity
A Dynamical Systems Approach to Conceptualizing and Investigating the Self
Novelty Recognition Models
The Dynamics of Patterns of Commitment in Sports
Conflict and the Complexity of Cognitive Processes
Social Entrepreneurs Open Closed Worlds: The Transformative Influence of Weak Ties
A Dynamic Approach to Multicultural Integration
Social Change Initiated by Social Entrepreneurs
Interpersonal Fluency: Toward a Model of Coordination and Affect in Social Relat
ISBN:9783642314360
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences , Engineering , Social sciences Methodology , Consciousness
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Call number:SPRINGER-2013-9783642303678:ONLINE Show nearby items on shelf
Title:Model Based Parameter Estimation [electronic resource] : Theory and Applications
Author(s): Hans Georg Bock
Thomas Carraro
Willi Jger
Stefan Krkel
Rolf Rannacher
Johannes P Schlder
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:This judicious selection of articles combines mathematical and numerical methods to apply parameter estimation and optimum experimental design in a range of contexts. These include fields as diverse as biology, medicine,chemistry, environmental physi cs, image processing and computer vision. The material chosen was presented at a multidisciplinary workshop on parameter estimation held in 2009 in Heidelberg. The contributions show how indispensableefficient methods of applied mathematics and computer-b ased modeling can be to enhancing the quality of interdisciplinary research. The use of scientific computing to model, simulate, and optimize complex processes has become astandard methodology in many scientific fields, as well as in industry. Demonstrat ing that the use of state-of-the-art optimization techniques in a number of research areas has much potential for improvement, this book providesadvanced numerical methods and the very latest results for the applications under consideration
Note:Springer eBooks
Contents:Parameter Estimation and Optimum Experimental Design for Differential Equation Models: H.G. Bock, St. Krkel, J.P. Schlder
Adaptive Finite Element Methods for Parameter Identification Problems: B. Vexler
Gauss
Newton Methods for Robust Parameter Estimation: T. Binder, E. Kostina
An Optimal Scanning Sensor Activation Policy for Parameter Estimation of Distributed Systems: D. Ucnski
Interaction between Experiment, Modeling and Simulation of Spatial Aspects in the JAK2/STAT5 Signaling Pathway: E. Friedmann, A. C. Pfeifer, R. Neumann, U. Klingmller , R. Rannacher
The Importan
ISBN:9783642303678
Series:e-books
Series:SpringerLink (Online service)
Series:Contributions in Mathematical and Computational Sciences, 2191-303X : v4
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Computer science , Numerical analysis , Mathematical optimization
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Call number:SPRINGER-2013-9783642302534:ONLINE Show nearby items on shelf
Title:Bayesian Hierarchical Space-Time Models with Application to Significant Wave Height [electronic resource]
Author(s): Erik Vanem
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:This book provides an example of a thorough statistical treatment in space and time of ocean wave data. It is demonstrated how the flexible framework of Bayesian hierarchical space-time models can be applied to oceanographicprocesses such as signific ant wave height in order to describe dependence structures and uncertainties in the data. This monograph is a research book and it is in some sense cross-disciplinary. The methodology itself is firmly rootedin the statistical research tradition, based on probability theory and stochastic processes. However, the methodology has been applied to a problem within physical oceanography, analysing data for significant wave height, which are ofcrucial importance to ocean engineering disciplines. Indeed, the stat istical properties of significant wave height are important for the design, construction and operation of ships and other marine and coastal structures. Furthermore,the book addresses the question of whether climate change has an effect of the ocean wave climate, and if so what these effects might be. Thus, this book is an important contribution to the on-going debate on climate change, itsimplications and how to adapt to a changing climate, with a particular focus on the maritime industries and the marin e environment. This book should be of general interest to anyone with an interest in statistical modelling ofenvironmental processes, and in particular to those with a particular interest in the ocean wave climate. It is written on a level that should be understandable to everyone with a basic background in statistics or elementarymathematics, and an introduction to some basic concepts is given in appendices for the uninitiated reader. The intended readership incudes students and professionals involved in statistics, oceanography, ocean engineering,environmental research, climate sciences and risk assessment. Moreover, different stakeholders within the maritime industries such as design offices, classif
Note:Springer eBooks
Contents:Preface
Acronyms
1.Introduction and Background
2.Literature Survey on StochasticWave Models
3.A Bayesian Hierarchical Space
Time Model for Significant Wave Height
4.Including a Log
Transform of the Data
6.Bayesian Hierarchical Modelling of the Ocean Windiness
7.Application: Impacts on Ship Structural Loads
8.Case study: Modelling the Effect of Climate Change on the Worlds Oceans
9.Summary and Conclusions
A.Markov Chain Monte Carlo Methods
B.Extreme Value Modelling
C.Markov Random Fields
D.Derivation of the Full Conditionals of the Bayesian Hierarchical
ISBN:9783642302534
Series:e-books
Series:SpringerLink (Online service)
Series:Ocean Engineering & Oceanography, 2194-6396 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
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Call number:SPRINGER-2013-9783642213083:ONLINE Show nearby items on shelf
Title:Survey Data Collection and Integration [electronic resource]
Author(s): Cristina Davino
Luigi Fabbris
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackledmost of the methodologic al issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from themethodology or do not have a specific soluti on at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinionquestionnaire design, and statistical estimation. Formal rigour a nd simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested inscientific developments in the survey field
Note:Springer eBooks
Contents:Part 1: Introduction to Statistical Surveys: Critical Points, Challenges and Need for Development (Luigi Biggeri)
Part 2: Questionnaire Design: Measurement Scales for Scoring or Ranking Sets of Interrelated Items (Luigi Fabbris)
Assessing MultiItem Scales for Subjective Measurement (Cristina Davino and Rosaria Romano)
Statistical Tools in the Joint Analysis of Closed and OpenEnded Questions (Simona Balbi and Nicole Triunfo)
The Use of SelfAnchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation (Immacolata Di Napoli and Cate
ISBN:9783642213083
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Social sciences Methodology
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Call number:SPRINGER-2013-9783319009667:ONLINE Show nearby items on shelf
Title:Mathematics, Computer Science and Logic - A Never Ending Story [electronic resource] : The Bruno Buchberger Festschrift
Author(s): Peter Paule
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
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Note:This book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics. While connected to the historical evolution of theseconcepts, the essays pla ce strong emphasis on developments still to come. The book originated in a 2002 symposium celebrating the work of Bruno Buchberger, Professor of Computer Mathematics at Johannes Kepler University, Linz, Austria,on the occasion of his 60th birthday. Among many other accomplishments, Professor Buchberger in 1985 was the founding editor of the Journal of Symbolic Computation the founder of the Research Institute for Symbolic Computation (RISC)and its chairman from 1987-2000 the founder in 1990 of the Softwar epark Hagenberg, Austria, and since then its director. More than a decade in the making, Mathematics, Computer Science and Logic - A Never Ending Story includes essaysby leading authorities, on such topics as mathematical foundations from the perspective of computer verification a symbolic-computational philosophy and methodology for mathematics the role of logic and algebra in softwareengineering and new directions in the foundations of mathematics. These inspiring essays invite general, mathematically i nterested readers to share state-of-the-art ideas which advance the never ending story of mathematics, computerscience and logic. Mathematics, Computer Science and Logic - A Never Ending Story is edited by Professor Peter Paule, Bruno Buchbergers successo r as director of the Research Institute for Symbolic Computation
Note:Springer eBooks
Contents:Preface
Henk Barendregt: Foundations of Mathematics from the Perspective of Computer Verification
Manfred Broy: On the Role of Logic and Algebra in Software Engineering
Stephen Wolfram: New Directions in the Foundations of Mathematics (2002)
Doron Zeilberger: Towards a Symbolic Computational Philosophy (and Methodology!) for Mathematics
ISBN:9783319009667
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Software engineering , Information theory , Algorithms , Computer software , Logic, Symbolic and mathematical
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Call number:SPRINGER-2013-9783319007472:ONLINE Show nearby items on shelf
Title:Functionals of Multidimensional Diffusions with Applications to Finance [electronic resource]
Author(s): Jan Baldeaux
Eckhard Platen
Date:2013
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
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Note:This research monograph provides an introduction to tractable multidimensional diffusion models, where transition densities, Laplace transforms, Fourier transforms, fundamental solutions or functionals can be obtained in explicitform.The book also pr ovides an introduction to the use of Lie symmetry group methods for diffusions, which allows to compute a wide range of functionals. Besides the well-known methodology on affine diffusions it presents a novelapproach to affine processes with applications in finance.Numerical methods, including Monte Carlo and quadrature methods, are discussed together with supporting material on stochastic processes. Applications in finance, forinstance, on credit risk and credit valuation adjustment are included in the b ook.The functionals of multidimensional diffusions analyzed in this book are significant for many areas of application beyond finance. The book is aimed ata wide readership, and develops an intuitive and rigorous understanding of the mathematics underlyin g the derivation of explicit formulas for functionals of multidimensional diffusions
Note:Springer eBooks
Contents:1 A Benchmark Approach to Risk Management
2 Functionals of Wiener Processes
3 Functionals of Squared Bessel Processes
4 Lie Symmetry Group Methods
5 Transition Densities via Lie Symmetry Methods
6 Exact and Almost Exact Simulation
7 Affine Diffusion Processes on the Euclidean Space
8 Pricing Using Affine Diffusions
9 Solvable Affine Processes on the Euclidean State Space
10 An Introduction to Matrix Variate Stochastics
11 Wishart Processes
12 Monte Carlo and Quasi
Monte Carlo Methods
13 Computational Tools
14 Credit Risk under the Benchmark Approach
A
ISBN:9783319007472
Series:e-books
Series:SpringerLink (Online service)
Series:Bocconi & Springer Series, Mathematics, Statistics, Finance and Economics, 2039-1471 : v5
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance
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Call number:SPRINGER-2013-9781461487159:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Panel Count Data [electronic resource]
Author(s): Jianguo Sun
Xingqiu Zhao
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multipletimes or repeatedly. Exa mples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield eventhistory data too such as demographic studies, eco nomic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This bookcollects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of thereader, the applications of the methods to real data are also discussed along with numerical calculation s. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature onthe analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count datato answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
Note:Springer eBooks
Contents:Introduction
Poisson Models and Parameter Inference
Nonparametric Estimation
Nonparametric Comparison of Point Processes
Regression Analysis of Panel Count Data I and II
Analysis of Multivariate Panel Count Data
Other Topics
Some Sets of Data
References
Index
ISBN:9781461487159
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776 : v80
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461472421:ONLINE Show nearby items on shelf
Title:Complex Systems and Society [electronic resource] : Modeling and Simulation
Author(s): Nicola Bellomo
Giulia Ajmone Marsan
Andrea Tosin
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more thanever in order to bette r understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way on the otherhand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work isdesigned to take into account a multidisciplinary approach that will e ncourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying andunravelling complex systems Introducing models of individual behaviours in the social and economic sciences Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recentlydeveloped modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to mod eling Darwinian evolution. Special attention is also devoted to social network theory as a fundamentalinstrument for the understanding of socio-economic systems
Note:Springer eBooks
Contents:1. The Role of Individual Behaviors in Socio
Economic Sciences
2. Mathematical Tools for Modeling Social Complex Systems
3. Modeling Cooperation and Competition in Socio
Economic Systems
4. Welfare Policy: Applications and Simulations
5. Forward Look at Research Perspectives
References
ISBN:9781461472421
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Mathematics, 2191-8198
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics, Mathematical , Social sciences
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Call number:SPRINGER-2013-9781461461142:ONLINE Show nearby items on shelf
Title:Sequential Experimentation in Clinical Trials [electronic resource] : Design and Analysis
Author(s): Jay Bartroff
Tze Leung Lai
Mei-Chiung Shih
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:This book presents an integrated methodology for sequential experimentation in clinical trials. The methodology allows sequential learning during the course of a trial to improve the efficiency of the trial design, which oftenlacks adequate informati on at the planning stage. Adaptation via sequential learning of unknown parameters is a central idea not only in adaptive designs of confirmatory clinical trials but also in the theory of optimal nonlinearexperimental design, which the book covers as intr oductory material. Other introductory topics for which the book provides preparatory background include sequential testing theory, dynamic programming and stochastic optimization,survival analysis and resampling methods. In this way, the book gives a self -contained and thorough treatment of group sequential and adaptive designs, time-sequential trials with failure-time endpoints, and statistical inference atthe conclusion of these trials. The book can be used for graduate courses in sequential analysis, c linical trials, and biostatistics, and also for short courses on clinical trials at professional meetings. Each chapter ends withsupplements for the reader to explore related concepts and methods, and problems which can be used for exercises in graduate c ourses. Jay Bartroff is Associate Professor of Mathematics at the University of Southern California where heis a member of the Laboratory of Applied Pharmacokinetics at the USC Keck School of Medicine. He is a leading expert on group sequential and multis tage adaptive statistical procedures and their applications to clinical trial designs,and he is a sought-after consultant in academia and industry. Tze Leung Lai is Professor of Statistics, and by courtesy, of Health Research and Policy and of the Institu te of Computational and Mathematical Engineering at StanfordUniversity, where he is the Director of the Financial and Risk Modeling Institute and Co-director of the Biostatistics Core at the Stanford Ca
Note:Springer eBooks
Contents:Introduction
Nonlinear Regression, Experimental Design, and Phase I Clinical Trials
Sequential Testing Theory and Stochastic Optimization over Time
Group Sequential Design of Phase II and III Trials
Sequential Methods for Vaccine Safety Evaluation and Surveillance in Public Health
Time
Sequential Design of Clinical Trials with Failure
Time Endpoints
Confidence Intervals and p
Values
Adaptive Design of Confirmatory Trials
References
ISBN:9781461461142
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v298
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461460404:ONLINE Show nearby items on shelf
Title:Strategic Economic Decision-Making [electronic resource] : Using Bayesian Belief Networks to Solve Complex Problems
Author(s): Jeff Grover
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Strategic Economic Decision-Making: Using Bayesian Belief Networks to Solve Complex Problems is a quick primer on the topic that introduces readers to the basic complexities and nuances associated with learning Bayes theoryand inverse probability for the first time. This brief is meant for non-statisticians who are unfamiliar with Bayes theorem,walkingthem through the theoretical phases of set and sample set selection, the axioms of probability,probability theory as it pertains to Bayes theorem, and posterior probabilities. All of these concepts are explained as they appear in the methodology of fitting a Bayes model, and upon completion of the text readers will be ableto mathematically determine posterior probabilities of multiple independent nodes across any system available for study. Very little has been published in the area of discrete Bayes theory, and this brief will appeal tonon-statisticians conducting research in the fields of engineering, computing, life sciences, and social sciences.
Note:Springer eBooks
Contents:Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems
A Literature Review of Bayes Theorem and Bayesian Belief Networks (BBN)
Statistical Properties of Bayes Theorem
Bayes Belief Networks (BBN) Experimental Protocol
Manufacturing Example
Political Science Example
Gambling Example
Publicly Traded Company Default Example
Insurance Risk Levels Example
Acts of Terrorism Example
Currency Wars Example
College Entrance Exams Example
Special Forces Assessment and Selection (SFAS) One
Stage Example
Special
ISBN:9781461460404
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Statistics, 2191-544X : v9
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461455745:ONLINE Show nearby items on shelf
Title:Models, Algorithms, and Technologies for Network Analysis [electronic resource] : Proceedings of the First International Conference on Network Analysis
Author(s): Boris Goldengorin
Valery A Kalyagin
Panos M Pardalos
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:This volume contains a selection of contributions from the First International Conference in Network Analysis, held at the University of Florida, Gainesville, on December 14-16, 2011. The remarkable diversity of fields thattake advantage of Network A nalysis makes the endeavor of gathering up-to-date material in a single compilation a useful, yet very difficult, task. The purpose of this volume is to overcome this difficulty by collecting the majorresults found by the participants and combining them i n one easily accessible compilation. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described andanalyzed by means of a network is bringing together researchers, practitioners an d other scientific communities from numerous fields such as Operations Research, Computer Science, Transportation, Energy, Social Sciences, and more. Thecontributions not only come from different fields, but also cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, andapplications
Note:Springer eBooks
ISBN:9781461455745
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v32
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2013-9781461455622:ONLINE Show nearby items on shelf
Title:Dihedral Fourier Analysis [electronic resource] : Data-analytic Aspects and Applications
Author(s): Marlos A. G Viana
Vasudevan Lakshminarayanan
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Dihedral Fourier Analysis introduces the theory and applications necessary to study experimental data indexed by, or associated with, the points in a dihedral symmetry orbit. This book looks at experimental data and analyticalmodels indexed by certai n dihedral rotations and reversals realized as vector fields. Its particular relevance as a research tool in areas such as optical and molecular biology statisticsappears when formulated within the context ofsymmetry studies, which formally connects algeb raic and statistical reasoning together in one methodology for data summary and inference. Chapter 1 presents an overview of the theory and methods of dihedral analysis. It introduces datasets and examples defining and connecting the algebraic notions of symmetry with those of statistical summaries and inference. Chapter 2 includes the required algebraic aspects and data-analytic results. Chapters 3-6 offer applicationsof the methods presented in the text. This book is intended for data analysts of both t heoretical and applied statistics
Note:Springer eBooks
Contents:Symmetry and Experimental Data
Algebraic and Data
Analytic Aspects
Curvature and Refraction Data
Symbolic Sequences
Symmetry Preference and Perception
Other Applications
Glossary
Index
ISBN:9781461455622
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461448181:ONLINE Show nearby items on shelf
Title:Essential Statistical Inference [electronic resource] : Theory and Methods
Author(s): Dennis D Boos
L. A Stefanski
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:This book is for students and researchers who have had a first year graduate level mathematicalstatistics course. It covers classical likelihood, Bayesian, and permutation inferencean introduction to basic asymptoticdistribution theory and modern top ics like M-estimation,the jackknife, and the bootstrap. R code is woven throughout the text, and there are a large numberof examples and problems. An important goal has been to make the topicsaccessible to a wide audience, with little overt relianceon mea sure theory. A typical semester course consists of Chapters 1-6 (likelihood-based estimationand testing, Bayesian inference, basic asymptotic results) plus selectionsfrom M-estimation and related testing and resampling methodology. Dennis Boos and Len Ste fanski are professors in the Department of Statistics at North Carolina State.Their research has been eclectic, often with a robustness angle,although Stefanski is also known forresearch concentrated on measurement error, including a co-authored book on n on-linear measurementerror models. In recent years the authors have jointly worked on variable selection methods.
Note:Springer eBooks
Contents:Roles of Modeling in Statistical Inference
Likelihood Construction and Estimation
Likelihood
Based Tests and Confidence Regions
Bayesian Inference
Large Sample Theory: The Basics
Large Sample Results for Likelihood
Based Methods
M
Estimation (Estimating Equations)
Hypothesis Tests under Misspecification and RelaxedAssumptions
Monte Carlo Simulation Studies
Jackknife
Bootstrap
Permutation and Rank Tests
Appendix: Derivative Notation and Formulas
References
Author Index
Example Index
R
code Index
Subject Index.
ISBN:9781461448181
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X : v120
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2013-9781461447207:ONLINE Show nearby items on shelf
Title:The Gini Methodology [electronic resource] A Primer on a Statistical Methodology
Author(s): Shlomo Yitzhaki
Edna Schechtman
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) havebeen in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world ofnormality. This makes the GMD of critical impo rtance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variancewith the GMD and its variants. In this way, the text showcases how alm ost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizingGini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematicmethod and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, thoughapplications to other approaches are mentioned as well
Note:Springer eBooks
Contents:Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
Decompositions of the GMD
The Lorenz curve and the concentration curve
The extended Gini family of measures
Gini Simple Regressions
Multiple Regressions
Inference on Gini
based parameters
estimation
Inference on Gini
based parameters
testing
Inference on Lorenz and on Concentration curves
Introduction to applications
Social welfare, relative deprivation and the Gini coefficient
Policy Analysis
Polic
ISBN:9781461447207
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v272
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics , Econometrics , Finance
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Call number:SPRINGER-2013-9781441979971:ONLINE Show nearby items on shelf
Title:Handbook of Combinatorial Optimization [electronic resource]
Author(s): Panos M Pardalos
Ding-Zhu Du
Ronald L Graham
Date:2013
Edition:2nd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:The second edition of this 5-volume handbook is intended to be a basic yet comprehensive reference work in combinatorial optimization that will benefit newcomers and researchers for years to come. This multi-volumework dealswith several algorithmic a pproaches for discrete problems as well as with many combinatorial problems. The editors have brought together almost every aspect of this enormous field of combinatorial optimization, an area of research atthe intersection of applied mathematics, compute r science, and operations research and which overlaps with many other areas such as computation complexity, computational biology, VLSI design, communications networks, and managementscience. Aninternational team of 30-40 experts in the field form the edi torial board. The Handbook of Combinatorial Optimization, second edition is addressed to all scientists who use combinatorial optimization methods to model andsolve problems. Experts in the field as well as non-specialists will find the material stimulati ng and useful
Note:Springer eBooks
Contents:Introduction
Part 1. General Methodology
Analysis of Greedy Approximations
Guillotine Partition in Geometric Optimization
Mixed
Integer Nonlinear Optimization in Process Synthesis
Connection between Nonlinear Programming and Discrete Optimization
Interior Point Methods for Combinatorial Optimization
Fractional Combinatorial Optimization
Reformulation
Linearization Techniques for Discrete Optimization Problems
Grobner Bases in Integer Programming
Dynamical System Approaches to Combinatorial Optimization
Semidefinite Relaxation, Multivariate Norma Distribution an
ISBN:9781441979971
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Mathematical optimization
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Call number:SPRINGER-2012-9789491216473:ONLINE Show nearby items on shelf
Title:Stochastic Differential Games. Theory and Applications [electronic resource]
Author(s): Kandethody M Ramachandran
Chris P Tsokos
Date:2012
Publisher:Paris : Atlantis Press
Size:1 online resource
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Note:Conflicts in the form of wars, or competition among countries and industrial institutions are plenty in human history. The introduction of game theory in the middle of the twentieth century shed insights and enabled researchers toanalyze this subject with mathematical rigor. From the ground-breaking work of VonNeumann and Morgenston, modern game theory evolved enormously. In the last few decades, Dynamic game theory framework has been deepened and generalizedfrom the pioneering work on differential g ames by R. Isaacs, L.S. Pontryagin and his school, and on stochastic games by Shapley. This book will expose the reader to some of the fundamental methodology in non-cooperative game theory,and highlight some numerical methods, along with some relevant ap plications. Since the early development days, differential game theory has had a significant impact in such diverse disciplines as applied mathematics, economics, systemstheory, engineering, operations, research, biology, ecology, environmental sciences, among others. Modern game theory now relies on wide ranging mathematical and computational methods, and relevant applications that are rich andchallenging. Game theory has been widely recognized as an important tool in many fields. Importance of game theo ry to economics is illustrated by the fact that numerous game theorists, such as John Forbes Nash, Jr., Robert J. Aumannand Thomas C. Schelling, have won the Nobel Memorial Prize in Economics Sciences. Simply put, game-theory has the potential to reshape the analysis of human interaction
Note:Springer eBooks
Contents:Introduction, Survey and Background Material
Stochastic Linear Pursuit
Evasion Game
Two Person Zero
Sum Differential Games
General Case
Formal Solutions for Some Classes of Stochastic Linear Pursuit
N
Person Noncooperative Differential Games
Weak Convergence in Two Player Stochastic Differential Games
Weak Convergence in Many Player Games
Some Numerical Methods
Applications to Finance
ISBN:9789491216473
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics, Mathematical
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Call number:SPRINGER-2012-9783642290008:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource] : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
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Note:Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks society can be regarded as a complex system. In recent years, scientists have made great progress inunderstanding how such complex systems operate, rang ing from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emergespontaneously as a consequence of their interactions: they are said to be self-organized. Attempts to direct or manage such emergent properties generally reveal that top-down approaches, which try to dictate a particularoutcome, are ineffectual, and that what is needed instead is a bottom-up approach that aims to guide self-org anization towards desirable states. This book shows how some of these ideas from the science of complexity can beapplied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and struct ure of cities. Building on these successes, the book argues that the complex-systems view ofthe social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimatelypredicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its inter actions with the physical environment to beexplored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions
Note:Springer eBooks
Contents:Society: a Complex Problem
On the Road: Predicting traffic
Every Move You Make: Patterns of crowd movement
Making Your Mind Up: Norms and decisions
Broken Windows: The spread and control of crime
The Social Web: Networks and their failures
Spreading It Around: Mobility, disease and epidemics
After the Crash: Economic and financial systems
Love Thy Neighbour: How to foster cooperation
Living Cities: Urban development as a complex system
The Transformation of War: Modelling modern conflict
Towards a Living Earth Simulator: The FuturICT Project
ISBN:9783642290008
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Engineering , Economics , Social sciences Methodology
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Call number:SPRINGER-2012-9783642230684:ONLINE Show nearby items on shelf
Title:Models of Science Dynamics [electronic resource] : Encounters Between Complexity Theory and Information Sciences
Author(s): Andrea Scharnhorst
Katy Brner
Peter Besselaar
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:Models of science dynamics aim to capture the structure and evolution of science. They are developed in an emerging research area in which scholars, scientific institutions and scientific communications become themselves basicobjects of research. In order to understand phenomena as diverse as the structure of evolving co-authorship networks or citation diffusion patterns, different models have been developed. They include conceptual models based onhistorical and ethnographic observations, mathematica l descriptions of measurable phenomena, and computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and acomprehensive research agenda. This book aims to fill this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented herecover stochastic and statistical models, game-theoretic approaches, agent-based simulations, populati on-dynamics models, and complex network models. The book starts with a foundational chapter that defines and operationalizesterminology used in the study of science, and a review chapter that discusses the history of mathematical approaches to modeling sc ience from an algorithmic-historiography perspective. It concludes with a survey of future challengesfor science modeling and discusses their relevance for science policy and science policy studies
Note:Springer eBooks
Contents:Part I Foundations
An Introduction to Modeling Science: Basic Model Types, Key Definitions, and a General Framework for the Comparison of Process Models
Mathematical Approaches to Modeling Science From an Algorithmic
historiography Perspectice
Part II Exemplary Model Type
Knowledge Epidemics and Population Dynamics Models for Describing Idea Diffusion
Agent
based Models of Science
Evolutionary Game Theory and Complex Networks of Scientific Information
Part III Exemplary Model Applications
Dynamic Scientific Co
authorship Networks
Citation Networks
Part IV Outlook
ISBN:9783642230684
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences , Engineering , Social sciences Methodology
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Call number:SPRINGER-2012-9781461436522:ONLINE Show nearby items on shelf
Title:Six Sigma with R [electronic resource] : Statistical Engineering for Process Improvement
Author(s): Emilio L Cano
Javier M Moguerza
Andrs Redchuk
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development:the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely usedin academic and research departments. Nowad ays, it is becoming a real alternative within corporate environments. The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. Thebook includes a gentle introduction to Six Sigma and a variety of ex amples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners,but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well
Note:Springer eBooks
Contents:PartI Basics
Six Sigma in a Nutshell
R from the Beginning
Part II R Tools for the Define phase
Process Mapping with R
Loss Function Analysis with R
Part III R Tools for the Measure phase
Measurement System Analysis with R
Pareto Analysis with R
Process Capability Analysis with R
Part IV R Tools for the Analyze phase
Charts with R
Statistics and Probability with R
Statistical Inference with R
Part V R Tools for the Improve phase
Design of Experiments with R
Part VI R Tools for the Control phase
Process Control with R
Part VII Further and B
ISBN:9781461436522
Series:e-books
Series:SpringerLink (Online service)
Series:Use R! : v36
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2012-9781461435204:ONLINE Show nearby items on shelf
Title:Statistical Challenges in Modern Astronomy V [electronic resource]
Author(s): Eric D Feigelson
G. Jogesh Babu
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
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Note:Now beginning its third decade, the Statistical Challenges in Modern Astronomy (SCMA) conferences are the premier forums where astronomers and statisticians discuss advanced methodological issues arising in astronomical research.From cosmology to exo planets, astronomers produce enormous datasets and encounter difficult modeling issues to arrive at astrophysical insights. At the SCMA V conference held at Penn State University in June 2011, researchers fromaround the world presented the latest astrosta tistical methods. To promote cross-disciplinary perspectives, each lecture from an expert in one field is followed by a commentary from the other field. A wide range of statisticaldevelopments are highlighted in the SCMA V conference. Some focus on proble ms arising in precision cosmology involving characteristics of the cosmic microwave background, galaxy clustering and gravitational lensing. Bayesianapproaches are particularly important in this and other areas. Knowledge discovery from megadatasets bring s methods of data mining into use. Image analysis and time series analysis are areas where astronomers perennially wrestle withsophisticated modeling problems. The proceedings ends with discussion of the future of astrostatistics. Eric D. Feigelson, Profe ssor of Astronomy & Astrophysics, and G. Jogesh Babu, Professor of Statistics, have long collaboratedin cross-disciplinary research and services. Under the auspices of Penn State's Center for Astrostatistics, they run the SCMA conferences, offer summer sc hools in statistics for astronomers, produce texts and research articlespromoting advances in statistical methodology in astronomy. Feigelson also conducts research in X-ray astronomy and star formation, and Babu is a mathematical statistician with intere st in bootstrap methods, nonparametrics andasymptotic theory
Note:Springer eBooks
Contents:Statistics in Cosmology
Bayesian Analysis Across Astronomy
Data Mining and Astroinformatics
Image and Time Series Analysis
The Future of Astrostatistics
Contributed Papers
ISBN:9781461435204
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v902
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2012-9781461422785:ONLINE Show nearby items on shelf
Title:Advances in Meta-Analysis [electronic resource]
Author(s): Terri D Pigott
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
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Note:

Meta-analysis is used increasingly in the social sciences to synthesize research results. As both primary research and the questions addressed by meta-analysis have been grown more complex, meta-analysis techniques haveevolved to address these iss ues. This book covers a number of advances in meta-analysis that are not covered in detail in many introductory books on research synthesis. More specifically, this book discusses the planning of ameta-analysis for complex questions, computing power for t ests in meta-analysis, handling missing data in meta-analysis, integrating individual data into a traditional meta-analysis and generalizing from the results of ameta-analysis. For each topic, a fully annotated example is provided with sample computer pro grams for the major statistical packages. This book assumes a familiarity with basic meta-analytic techniques. The goal of the book isto provide researchers with advanced strategies for strengthening the planning, conduct and interpretations of meta-analy sis with complex data.

Terri D. Pigott is a Professor of Research Methodology in Loyola UniversityChicagos School of Education. Her research interests are in developing new methods for meta-analysis, and the use of meta-analysis in public policy.. < /p>

Note:Springer eBooks
Contents:

Rationale and overview of the book

Complexities of primary research and meta
analysis
Fixed, random, and mixed models
Correlations
Effect sizes
Proportion/odds ratio data
Dependence in primary research and meta
analysis
Correlations
Effect sizes (group comparisons and change measures)
Proportion/odds ratio data
Bayesian approaches
Missing data
Combining across designs
Qualitative studies in synthesis
Quality assessments
Studies on quality weighting
Summary/Conclusions.

ISBN:9781461422785
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Social and Behavioral Sciences
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2012-9781461405627:ONLINE Show nearby items on shelf
Title:Statistical Tools for Measuring Agreement [electronic resource]
Author(s): Lawrence Lin
A. S Hedayat
Wenting Wu
Date:2012
Edition:1
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:Agreement assessment techniques are widely used in examining the acceptability of a new or generic process, methodology and/or formulation in areas of lab performance, instrument/assay validation or method comparisons, statisticalprocess control, goo dness-of-fit, and individual bioequivalence. Successful applications in these situations require a sound understanding of both the underlying theory and methodological advances in handling real-life problems. Thisbook seeks to effectively blend theory and applications while presenting readers with many practical examples. For instance, in the medical device environment, it is important to know if the newly established lab can reproduce theinstrument/assay results from the established but outdating lab. Wh en there is a disagreement, it is important to differentiate the sources of disagreement. In addition to agreement coefficients, accuracy and precision coefficientsare introduced and utilized to characterize these sources. This book will appeal to a broad range of statisticians, researchers, practitioners and students, in areas of biomedical devices, psychology, medical research, and others, inwhich agreement assessment are needed. Many practical illustrative examples will be presented throughout the book in a wide variety of situations for continuous and categorical data
Note:Springer eBooks
Contents:Introduction
Continuous Data
Categorical Data
Sample Size and Power
A Unified Model for Coninutous and Categorical Data
A Comparative Model for Continuous and Categorical Data
Workshop
ISBN:9781461405627
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781461403913:ONLINE Show nearby items on shelf
Title:Modern Mathematical Statistics with Applications [electronic resource]
Author(s): Jay L Devore
Kenneth N Berk
Date:2012
Edition:2
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:Many mathematical statistics texts are heavily oriented toward a rigorous mathematical development of probability and statistics, without much attention paid to how statistics is actually used.. In contrast, Modern MathematicalStatistics with Applica tions, Second Edition strikes a balance between mathematical foundations and statistical practice. In keeping with the recommendation that every math student should study statistics and probability with anemphasis on data analysis, accomplished authors Ja y Devore and Kenneth Berk make statistical concepts and methods clear and relevant through careful explanations and a broad range of applications involving real data. The main focusof the book is on presenting and illustrating methods of inferential stat istics that are useful in research. It begins with a chapter on descriptive statistics that immediately exposes the reader to real data. The next six chaptersdevelop the probability material that bridges the gap between descriptive and inferential statist ics. Point estimation, inferences based on statistical intervals, and hypothesis testing are then introduced in the next threechapters. The remainder of the book explores the use of this methodology in a variety of more complex settings. This edition inc ludes a plethora of new exercises, a number of which are similar to what would be encountered on theactuarial exams that cover probability and statistics. Representative applications include investigating whether the average tip percentage in a particular restaurant exceeds the standard 15%, considering whether the flavor and aromaof Champagne are affected by bottle temperature or type of pour, modeling the relationship between college graduation rate and average SAT score, and assessing the likelihood of O-ring failure in space shuttle launches as related tolaunch temperature. Other features include: - An extensive range of applications that will appeal to a wide audience, including math
Note:Springer eBooks
Contents:Overview and Descriptive Statistics
Probability
Discrete Random Variables and Probability Distributions
Continuous Random Variables and Probability Distributions
Joint Probability Distributions
Statistics and Sampling Distributions
Point Estimation
Statistical Intervals Based on a Single Sample
Tests of Hypotheses Based on a Single Sample
Inferences Based on Two Samples
The Analysis of Variance
Regression and Correlation
Goodness
of
Fit Tests and Categorical Data Analysis
Alternative Approaches to Inference
Appendix Tables.
ISBN:9781461403913
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2012-9781447123538:ONLINE Show nearby items on shelf
Title:Mathematical Methods for Signal and Image Analysis and Representation [electronic resource]
Author(s): Luc Florack
Remco Duits
Geurt Jongbloed
Marie-Colette Lieshout
Laurie Davies
Date:2012
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
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Note:Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living onan n-dimensional smo oth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. Incontrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed forthe sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interestedin the fundamental methodology per se. Covering many topics at the forefront of curre nt research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduatestudents and researchers in the fields of computer vision, medical imaging and visual perception
Note:Springer eBooks
Contents:A Short Introduction to Diffusion
like Methods
Adaptive Filtering using Channel Representations
3D
Coherence
Enhancing Diffusion Filtering for Matrix Fields
Structural Adaptive Smoothing: Principles and Applications in Imaging
SPD Tensors Regularization via Iwasawa Decomposition
Sparse Representation of Video Data by Adaptive Tetrahedralizations
Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups
Left Invariant Evolution Equations on Gabor Transforms
Scale Space Representations Locally Adapted to the Geometry of Ba
ISBN:9781447123538
Series:e-books
Series:SpringerLink (Online service)
Series:Computational Imaging and Vision, 1381-6446 : v41
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer vision
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Call number:SPRINGER-2011-9783790823752:ONLINE Show nearby items on shelf
Title:Statistical Methods for the Evaluation of University Systems [electronic resource]
Author(s): Massimo Attanasio
Vincenza Capursi
Date:2011
Publisher:Heidelberg : Physica-Verlag HD
Size:1 online resource
Note:Springer e-book platform
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Note:This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements,assessment of education al systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteriaand procedures to the Italian university sys tem
Note:Springer eBooks
Contents:Part I
Introduction: Different Perspectives of the Evaluation of the Italian University System
Part II
The Evaluation in the Italian Universities. Student Teaching Evaluation
Part III
The Evaluation in the Italian Universities. Statistical Methods for Careers and Services Evaluation
Part IV
Research Design and data for Evaluation: University between the High School and the Labour Market
ISBN:9783790823752
Series:e-books
Series:SpringerLink (Online service)
Series:Contributions to Statistics, 1431-1968
Series:Mathematics and Statistics (Springer-11649)
Keywords: Education , Educational tests and measurements , Statistics , Social sciences Methodology
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Call number:SPRINGER-2011-9783642162183:ONLINE Show nearby items on shelf
Title:Evolutionary Statistical Procedures [electronic resource] : An Evolutionary Computation Approach to Statistical Procedures Designs and Applications
Author(s): Roberto Baragona
Francesco Battaglia
Irene Poli
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:This proposed text appears to be a good introduction to evolutionary computation for use in applied statistics research. The authors draw from a vast base of knowledge about the current literature in both the design ofevolutionary algorithms and stat istical techniques. Modern statistical research is on the threshold of solving increasingly complex problems in high dimensions, and the generalization of its methodology to parameters whose estimatorsdo not follow mathematically simple distributions is u nderway. Many of these challenges involve optimizing functions for which analytic solutions are infeasible. Evolutionary algorithms represent a powerful and easily understood meansof approximating the optimum value in a variety of settings. The proposed t ext seeks to guide readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods (includingboth stand-alone evolutionary algorithms and hybrid crosses of these procedures with standard stati stical algorithms like Metropolis-Hastings) in a variety of applications. This book would serve as an excellent reference work forstatistical researchers at an advanced graduate level or beyond, particularly those with a strong background in computer scie nce
Note:Springer eBooks
Contents:Introduction
Evolutionary Computation
Evolving Regression Models
Time Series Linear and Nonlinear Models
Design of Experiments
Outliers
Cluster Analysis
ISBN:9783642162183
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics and Computing, 1431-8784
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Medical laboratories , Computer vision , Algorithms , Mathematical statistics , Social sciences Methodology
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Call number:SPRINGER-2011-9783642156274:ONLINE Show nearby items on shelf
Title:Points and Lines [electronic resource] : Characterizing the Classical Geometries
Author(s): Ernest Shult
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
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Note:The classical geometries of points and lines include not only the projective and polar spaces, but similar truncations of geometries naturally arising from the groups of Lie type. Virtually all of these geometries (or homomorphicimages of them) are c haracterized in this book by simple local axioms on points and lines. Simple point-line characterizations of Lie incidence geometries allow one to recognize Lie incidence geometries and their automorphism groups.These tools could be useful in shortening t he enormously lengthy classification of finite simple groups. Similarly, recognizing ruled manifolds by axioms on light trajectories offers a way for a physicist to recognize the action of aLie group in a context where it is not clear what Hamiltonians or Casimir operators are involved. The presentation is self-contained in the sense that proofs proceed step-by-step from elementary first principals without further appealto outside results. Several chapters have new heretofore unpublished research results. On the other hand, certain groups of chapters would make good graduate courses. All but one chapter provide exercises for either use in such acourse, or to elicit new research directions
Note:Springer eBooks
Contents:I.Basics
1 Basics about Graphs
2 .Geometries: Basic Concepts
3 .Point
line Geometries
4.Hyperplanes, Embeddings and Teirlinck's Eheory
II.The Classical Geometries
5 .Projective Planes
6.Projective Spaces
7.Polar Spaces
8.Near Polygons
III.Methodology
9.Chamber Systems and Buildings
10.2
Covers of Chamber Systems
11.Locally Truncated Diagram Geometries
12.Separated Systems of Singular Spaces
13 Cooperstein's Theory of Symplecta and Parapolar Spaces
IV.Applications to Other Lie Incidence Geometries
15.Characterizing the Classical Strong Parapolar Spac
ISBN:9783642156274
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Topological Groups , Geometry
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Call number:SPRINGER-2011-9781441997821:ONLINE Show nearby items on shelf
Title:Targeted Learning [electronic resource] : Causal Inference for Observational and Experimental Data
Author(s): Mark J van der Laan
Sherri Rose
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 statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever data sets are massive, often measuring hundreds of thousands of measurements for a single subject.The fieldis ready to move towards c lear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjectivechoices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the target parameter representing the scientific question of interest. This book is aimed at bothstatisticians and applied researchers interested in causal inference and ge neral effect estimation for observational and experimental data. Part I is an accessible introduction to super learning and the targeted maximum likelihoodestimator, including related concepts necessary to understand and apply these methods. Parts II-IX h andle complex data structures and topics applied researchers will immediately recognize from their own research, includingtime-to-event outcomes, direct and indirect effects, positivity violations, case-control studies, censored data, longitudinal data, a nd genomic studies. Targeted Learning, by Mark J. van der Laan and Sherri Rose, fills a much neededgap in statistical and causal inference. It protects us from wasting computational, analytical, and data resources on irrelevant aspects of a problem and te aches us how to focus on what is relevant answering questions thatresearchers truly care about. -Judea Pearl, Computer Science Department, University of California, Los Angeles In summary, this book should be on the shelf of every investigator who conduc ts observational research and randomizedcontrolled trials. The concepts and methodology are foundational for causal inference and at the same time stay true to what the data at hand can say a
Note:Springer eBooks
Contents:Models, Inference, and Truth
The Open Problem
Defining the Model and Parameter
Super Learning
Introduction to TMLE
Understanding TMLE
Why TMLE?
Bounded Continuous Outcomes
Direct Effects and Effect Among the Treated
Marginal Structural Models
Positivity
Robust Analysis of RCTs Using Generalized Linear Models
Targeted ANCOVA Estimator in RCTs
Independent Case
Control Studies
Why Match? Matched Case
Control Studies
Nested Case
Control Risk Score Prediction
Super Learning for Right
Censored Data
RCTs with Time
to
Event Outcomes
RCTs with Time
ISBN:9781441997821
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2011-9781441996220:ONLINE Show nearby items on shelf
Title:NanoBiosensing [electronic resource] : Principles, Development and Application
Author(s): Huangxian Ju
Xueji Zhang
Joseph Wang
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 book will cover the full scope of nanobiosensing, which combines the newest research results in the cross-disciplines of chemistry, biology, and materials science with biosensing and bioanalysis to develop novel detectionprinciples, sensing mech anisms, and device engineering methods. It not only covers the important types of nanomaterials for biosensing applications, including carbon nanotubes, carbon nanofiber, quantum dots, fullerenes, fluorescentand biological molecules, etc., but also illust rates a wide range of sensing principles, including electrochemical detection, fluorescence, chemiluminesence, antibody-antigen interactions, and magnetic detection. The book details noveldevelopments in the methodology and devices of biosensing and bioan alysis combined with nanoscience and nanotechnology, as well as their applications in biomedicine and environmental monitoring. Furthermore, the reported works on theapplication and biofunction of nanoparticles have attracted extensive attention and inter est, thus they are of particular interest to readers. The reader will obtain a rich survey of nanobiosensing technology, including the principlesand application of biosensing, the design and biofunctionalization of bionanomaterials, as well as the methodo logy to develop biosensing devices and bioanalytical systems
Note:Springer eBooks
Contents:Preface
Biofunctionalization of nanomaterials
Signal amplification of nanobiosensing
Nanostructured mimic enzymes for biocatalysis and biosensing
Porphyrin
based nanocomposites for biosensing
Carbon nanofiber doped nanocomposites for biosensing
Biosensing based on nanoporous silica
Electrochemical biosensing based on carbon nanotubes
Electrogenerated chemiluminsecence biosensing of quantum dots
Biosensing application of molecularly imprinted nanoparticles
Biosensors based on sol
gel nanoparticles matrices
Nanostructure for nitric oxide electrochemical sensing
ISBN:9781441996220
Series:e-books
Series:SpringerLink (Online service)
Series:Biological and Medical Physics, Biomedical Engineering, 1618-7210
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Biomedical engineering , Nanotechnology
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Call number:SPRINGER-2011-9781441983428:ONLINE Show nearby items on shelf
Title:Dynamic Mixed Models for Familial Longitudinal Data [electronic resource]
Author(s): Brajendra C Sutradhar
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 book provides a theoretical foundation for the analysis of discrete data such as count and binary data in the longitudinal setup. Unlike the existing books, this book uses a class of auto-correlation structures to model thelongitudinal correlati ons for the repeated discrete data that accommodates all possible Gaussian type auto-correlation models as special cases including the equi-correlation models. This new dynamic modelling approach is utilized todevelop theoretically sound inference techniq ues such as the generalized quasi-likelihood (GQL) technique for consistent and efficient estimation of the underlying regression effects involved in the model, whereas the existingworking correlations based GEE (generalized estimating equations) approach has serious theoretical limitations both for consistent and efficient estimation, and the existing random effects based correlations approach is notsuitable to model the longitudinal correlations. The book has exploited the random effects carefully only to model the correlations of the familial data. Subsequently, this book has modelled the correlations of the longitudinal datacollected from the members of a large number of independent families by using the class of auto-correlation structures conditiona l on the random effects. The book also provides models and inferences for discrete longitudinal data inthe adaptive clinical trial set up. The book is mathematically rigorous and provides details for the development of estimation approaches under selected familial and longitudinal models. Further, while the book provides special caresfor mathematics behind the correlation models, it also presents the illustrations of the statistical analysis of various real life data. This book will be of interest to the researchers including graduate students in biostatistics andeconometrics, among other applied statistics research areas. Brajendra Sutradhar is a University Research Professor at Memorial Universi
Note:Springer eBooks
Contents:Introduction
Overview of Linear Fixed Models for Longitudinal Data
Overview of Linear Mixed Models for Longitudinal Data
Familial Models for Count Data
Familial Models for Binary Data
Longitudinal Models for Count Data
Longitudinal Models for Binary Data
Longitudinal Mixed Models for Count Data
Longitudinal Mixed Models for Binary Data
Familial Longitudinal Models for Count Data
Familial Longitudinal Models for Binary Data
ISBN:9781441983428
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Epidemiology , Biometrics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2011-9781441983398:ONLINE Show nearby items on shelf
Title:Selected Works of Murray Rosenblatt [electronic resource]
Author(s): Richard A Davis
Keh-Shin Lii
Dimitris N Politis
Date:2011
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:During the second half of the 20th century, Murray Rosenblatt was one of the most celebrated and leading figures in probability and statistics. Among his many contributions, Rosenblatt conducted seminal work on densityestimation, central limit theore ms under strong mixing conditions, spectral domain methodology, long memory processes and Markov processes. He has published over 130 papers and 5 books, many as relevant today as when they firstappeared decades ago. Murray Rosenblatt was one of the found ing members of the Department of Mathematics at the University of California at San Diego (UCSD) and served as advisor to over twenty PhD students. He maintains a closeassociation with UCSD in his role as Professor Emeritus. This volume is a celebration o f Murray Rosenblatt's stellar research career that spans over six decades, and includes some of his most interesting and influential papers. Severalleading experts provide commentary and reflections on various directions of Murray's research portfolio
Note:Springer eBooks
Contents:Commentary: Discussion of Rosenblatts work on Global Measures of Deviations for Density Estimates
Commentary: Murray Rosenblatts contributions to strong mixing
Commentary: Murray Rosenblatt and cumulant/higher
order/polyspectra
Commentary: Rosenblatts Contribution to Deconvolution
Commentary: Rosenblatts Contributions to Random Walks on Compact Semigroups
Commentary: The Rosenblatt Process
On spectral analysis of stationary time series
Remarks on a multivariate transformation
Statistical spectral analysis of time series arising from stationary stochastic pro
ISBN:9781441983398
Series:e-books
Series:SpringerLink (Online service)
Series:Selected Works in Probability and Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-2011-9781441973382:ONLINE Show nearby items on shelf
Title:The Fundamentals of Modern Statistical Genetics [electronic resource]
Author(s): Nan M Laird
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 book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendels first experiments to genome-wideassociation studies, the book de scribes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation,linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intendedaudience is statisticians, biostatisticians, epidemiologists and quantitatively- orien ted geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or topursue research in methodology. A background in intermediate level statistical methods is required. The aut hors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels.No background in genetics is assumed. Dr. Laird is a Professor of Biostatistics in the Biostatistics Department at the Harvard Sc hool of Public Health. Dr. Laird has contributed to methodology in many different fields, includingmissing data, EM-algorithm, meta-analysis, statistical genetics, and has coauthored a book with Garrett Fitzmaurice and James Ware on Applied Longitudinal A nalysis. She is the recipient of many awards and prizes, including Fellow ofthe American Statistical Association, the American Association for the Advancement of Science, the Florence Nightingale Award, and the Janet Norwood Award. Dr. Lange is an Associa te Professor in the Biostatistics Department at theHarvard School of Public Health. After his PhD in Statistics at the University of Reading (UK), he has worked extensively in the field of statistica
Note:Springer eBooks
Contents:Introduction to statistical genetics and background in molecular genetics
Principles of inheritance: mendel's laws and genetic models
Some basic concepts from population genetics
Aggregation, heritability and segregation analysis: modeling genetic inheritance without genetic data
The general concepts of gene mapping: Linkage, association, linkage disequilibrium and marker maps
Basic concepts of linkage analysis
The basics of genetic association analysis
Population substructure in association studies
Association analysis in family designs
Advanced topics
Genome wid
ISBN:9781441973382
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Human genetics , Epidemiology , Biometrics , Statistical methods
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Call number:SPRINGER-2010-9783642136245:ONLINE Show nearby items on shelf
Title:EKC 2009 Proceedings of the EU-Korea Conference on Science and Technology [electronic resource]
Author(s): Joung Hwan Lee
Habin Lee
Jung-Sik Kim
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Current research fields in science and technology were presented and discussed at the EKC2008, informing about the interests and directions of the scientists and engineers in EU countries and Korea. The Conference has emerged fromthe idea of bringing together EU and Korea to get to know each other better, especially in fields of science and technology
Note:Springer eBooks
Contents:Past, Present and Future Contribution on Research and Development of Aero
Propulsion Systems in Korea
Application of Bioelectrochemical Process (BES) for Electricity Generation and Sustainable Wastewater Treatment
Trend of Mathematical Models in Microbial Fuel Cell for Environmental Energy Refinery from Waste/Water
Optimization Methodology of Low Carbon Mixed Energy Systems Using the Bees Algorithm
Technology Co
evolution Analysis in the Energy Sector
Optimal Operation System of the Integrated District Heating System with Multiple Regional Branches
A Research on the Applicati
ISBN:9783642136245
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Proceedings in Physics, 0930-8989 : v135
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Hydraulic engineering , Mechanical engineering , Telecommunication
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Call number:SPRINGER-2010-9783642017773:ONLINE Show nearby items on shelf
Title:Symplectic Geometric Algorithms for Hamiltonian Systems [electronic resource]
Author(s): Kang Feng
Mengzhao Qin
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Symplectic Geometric Algorithms for Hamiltonian Systems will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes anddevelops the generating func tion and Hamilton-Jacobi equation theory from the perspective of the symplectic geometry and symplectic algebra. It will be a useful resource for engineers and scientists in the fields of quantum theory,astrophysics, atomic and molecular dynamics, climate prediction, oil exploration, etc. Therefore a systematic research and development of numerical methodology for Hamiltonian systems is well motivated. Were it successful, it wouldimply wide-ranging applications
Note:Springer eBooks
Contents:Preliminaries of Differential Manifolds
Symplectic Algebra and Geometry Preliminaries
Hamiltonian Mechanics and Symplectic Geometry
Symplectic Difference Schemes for Hamiltonian Systems
The Generating Function Method
The Calculus of Generating Function and Formal Energy
Symplectic Runge
Kutta Methods
Composition Scheme
Formal Power Series and B
Series
Volume
Preserving Methods for Source
Free Systems
Free Systems
Contact Algorithms for Contact Dynamic Systems
Poisson Bracket and Lie
Poisson Schemes
KAM Theorem of Symplectic Algorithms
Lee
Variational I
ISBN:9783642017773
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Geometry , Algebraic topology , Quantum theory , Hydraulic engineering
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Call number:SPRINGER-2010-9783540328278:ONLINE Show nearby items on shelf
Title:Handbook of Partial Least Squares [electronic resource] : Concepts, Methods and Applications
Author(s): Vincenzo Esposito Vinzi
Wynne W Chin
Jrg Henseler
Huiwen Wang
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The Handbook of Partial Least Squares (PLS) and Marketing: Concepts, Methods and Applications is the second volume in the series of the Handbooks of Computational Statistics. This Handbook represents a comprehensive overviewof PLS methods with specif ic reference to their use in Marketing and with a discussion of the directions of current research and perspectives. The Handbook covers the broad area of PLS Methods from Regression to Structural EquationModeling, from methods to applications, from softw are to interpretation of results. The Handbook features papers on the use and the analysis of latent variables and indicators by means of the PLS Path Modeling approach from the designof the causal network to the model assessment and improvement. Moreover , within the PLS framework, the Handbook addresses, among others, special and advanced topics such as the analysis of multi-block, multi-group and multi-structureddata, the use of categorical indicators, the study of interaction effects, the integration o f classification issues, the validation aspects and the comparison between thecomponent-basedPLS approach and the covariance-basedStructural Equation Modeling. Most chapters comprise a thorough discussion of applications to problems from Marketing and rel ated areas. Furthermore, a few tutorials focus on some key aspects of PLS analysis with a didactic approach.This Handbook serves as both an introduction for those without prior knowledge of PLS as well as a comprehensive reference for researchers and prac titioners interested in the most recent advances in PLS methodology
Note:Springer eBooks
Contents:Editorial: Perspectives on Partial Least Squares
METHODS
Latent Variables and Indices: Herman Wolds Basic Design and Partial Least Squares
PLS Path Modeling: From Foundations to Recent Developments and Open Issues for Model Assessment and Improvement
Bootstrap Cross
Validation Indices for PLS Path Model Assessment
A Bridge Between PLS Path Modeling and Multi
Block Data Analysis
Use of ULS
SEM and PLS
SEM to Measure a Group Effect in a Regression Model Relating Two Blocks of Binary Variables
A New Multiblock PLS Based Method to Estimate Causal Models: Application to the
ISBN:9783540328278
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Handbooks of Computational Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Marketing
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Call number:SPRINGER-2010-9781441917645:ONLINE Show nearby items on shelf
Title:Advances in Social Science Research Using R [electronic resource]
Author(s): Hrishikesh D Vinod
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:This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools usingthe free R software. McC ullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker: Additive models provide aclever compromise between parametric and non-par ametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problemof efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratorydata analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selecti on borrowed from computer scientists and data-mining experts relevant to anyone with an investment portfolio. Foster and Kecojevic: Extendsthe usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation.Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the ch oice of functional form for an unknown, potentially nonlinear relationship, explaining a set of newR tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools forBayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and Rengifo:
Note:Springer eBooks
Contents:Econometric Computing with R
Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India
Toward better R defaults for graphics: Example of voter turnouts in US elections
Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R
example of Inflation Unemployment Trade
Off
Bubble Plots as a Model
Free Graphical Tool for Continuous Variables
Combinatorial Fusion for Improving Portfolio Performance
Reference growth charts for Saudi Arabian children and Adolescents
Causal Mediation Analysis Using R
Statistical val
ISBN:9781441917645
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v196
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics , Econometrics , Social sciences Methodology
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