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SPIRES-BOOKS: FIND KEYWORD BUSINESS MATHEMATICS *END*INIT* use /tmp/qspiwww.webspi1/11752.46 QRY 131.225.70.96 . find keyword business mathematics ( in books using www Cover
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Call number:9781493965724:ONLINE Show nearby items on shelf
Title:Statistics and Analysis of Scientific Data
Author(s): Massimiliano Bonamente
Date:2017
Edition:2nd ed. 2017
Size:1 online resource (XVII, 318 p. 40 illus., 4 illus. in color p.)
Contents:Theory of Probability -- Random Variables and Their Distribution -- Sum and Functions of Random Variables -- Estimate of Mean and Variance and Confidence Intervals -- Median, Weighted Mean and Linear Average (NEW) -- Distribution
Function of Statistics and Hypothesis Testing -- Maximum Likelihood Fit to a Two-Variable Dataset -- Goodness of Fit and Parameter Uncertainty -- Systematic Errors and Intrinsic Scatter (NEW) -- Fitting Data with Bivariate Errors (NEW)
-- Comparison Between Models -- Monte Carlo Methods -- Markov Chains and Monte Carlo Markov Chains -- Statistics for Business Sciences and Addition of Multi–Variate Analysis (NEW)
ISBN:9781493965724
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , System theory , Statistics , Applied mathematics , Engineering mathematics , Physics , Mathematical Methods in Physics , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Business/Economics/Mathematical Finance/Insurance , Appl.Mathematics/Computational Methods of Engineering , Complex Systems , Statistical Physics and Dynamical Systems
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Call number:1119002257:ONLINE Show nearby items on shelf
Title:Storytelling with Data: A Data Visualization Guide for Business Professionals
Author(s): Nussbaumer Knaf
Date:2015
Publisher:Wiley
Size:1 online resource (289 p.)
ISBN:9781119002253
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Mathematics
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Call number:SPRINGER-2016-9783658139131:ONLINE Show nearby items on shelf
Title:Solving Network Design Problems via Decomposition, Aggregation and Approximation
Author(s): Andreas Bärmann
Date:2016
Size:1 online resource (28 p.)
Note:10.1007/978-3-658-13913-1
Contents:Decomposition for Multi-Period Network Design -- Solving Network Design Problems via Aggregation -- Approximate Second-Order Cone Robust Optimization
ISBN:9783658139131
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Business logistics , Operations research , Decision making , Mathematical optimization , Mathematics , Optimization , Operation Research/Decision Theory , Logistics
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Call number:SPRINGER-2016-9783319304175:ONLINE Show nearby items on shelf
Title:Statistical Methods and Applications in Insurance and Finance CIMPA School, Marrakech and El Kelaa M'gouna, Morocco, April 2013
Author(s):
Date:2016
Size:1 online resource (3 p.)
Note:10.1007/978-3-319-30417-5
Contents:1 Frederi Viens: A didactic introduction to risk management via hedging in discrete and continuous time -- 2 M’hamed Eddahbi and Sidi Mohamed Lalaoui Ben Cherif: Sensitivity analysis for time–inhomogeneous L´evy process: A Malliavin calculus ap proach and numeric -- 3 Nicolas Privault and Dichuan Yang: Variance-GGC asset price models and their sensitivity analysis -- 4 Josep Vives: Decomposition of the pricing formula for stochastic volatility models based on Malliavin-Skorohod type calculus -- 5 Boualem Djehiche: Statistical estimation techniques in life and disability insurance -A short overview -- 6 AbdulRahman Al-Hussein: Necessary and sufficient conditions of optimal control for infinite dimensional SDEs -- 7 AbdulRahman Al-Hussein and Boul akhras Gherbal: Sufficient conditions of optimality for forward-backward doubly SDEs with jumps -- 8 Mohsine Benabdallah, Siham Bouhadou, Youssef Ouknine: On the pathwise uniqueness of solutions of one-dimensional stochastic differential
equations with jumps -- 9 E. H. Essaky and M. Hassani: BSDE Approach for Dynkin Game and American Game Option
ISBN:9783319304175
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 158
Keywords: Mathematics , Insurance , Risk management , Economics, Mathematical , Statistics , Mathematics , Quantitative Finance , Statistics for Business/Economics/Mathematical Finance/Insurance , Risk Management , Insurance
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Call number:SPRINGER-2016-9783319301907:ONLINE Show nearby items on shelf
Title:Rabi N. Bhattacharya Selected Papers
Author(s):
Date:2016
Size:1 online resource (711 p.)
Note:10.1007/978-3-319-30190-7
Contents:Part I: Modes of Approximation -- Hall, Contributions of Rabi Bhattacharya to the Central Limit Theory and Normal Approximation -- Yoshida, Asymptotic Expansions for Stochastic Processes -- Shao, An Introduction to Normal Approximation -- Reprints - - Part II: Large Time Asymptotics for Markov Processes I: Diffusion -- Varadhan, Martingale Methods for the Central Limit Theorem -- Kurtz, Ergodicity and Central Limit Theorems for Markov Processes -- Reprints -- Part III: Large Time Asymptotics for Mark ov Processes II: Dynamical Systems and Iterated Maps -- Athreya, Dynamical Systems, IID Random Iterations, and Markov Chains -- Waymire, Random Dynamical Systems and Selected Works of Rabi Bhattacharya -- Reprints -- Part IV: Stochastic Foundations in App lied Sciences I: Economics -- Kamihigashi, Stachurski, Stability Analysis for Random Dynamical Systems in Economics -- Roy, Some Economic Applications of Recent Advances in Random Dynamical Systems -- Reprints -- Part V: Stochastic
Foundations in Applied Sciences II: Geophysics -- Thomann, Waymire, Advection-Dispersion in Fluid Media and Selected Works of Rabi Bhattacharya -- Flandoli, Romito, Cascade Representations for the Navier-Stokes Equations -- Reprints -- Part VI: Stoc hastic Foundations in Applied Sciences III: Statistics -- Dryden, Le, Preston, Wood, Nonparametric Statistical Methods on Manifolds -- Huckemann, Hotz, Nonparametric Statistics on Manifolds and Beyond -- Reprints
ISBN:9783319301907
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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Call number:SPRINGER-2016-9783319297767:ONLINE Show nearby items on shelf
Title:Modelling in Life Insurance – A Management Perspective
Author(s):
Date:2016
Size:1 online resource (38 p.)
Note:10.1007/978-3-319-29776-7
Contents:Paradigms in life insurance -- About market consistent valuation in insurance -- Cash flow projection models -- Economic scenario generators -- From internal to ORSA models -- Building a model: practical implementation -- Ex-ante model validation a nd back-testing -- The threat of model risk for insurance companies -- Meta-models and consistency issues -- Model feeding & Data Quality -- The role of models in management decision making -- Models and behaviour of stakeholders
ISBN:9783319297767
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Insurance , Economics, Mathematical , Actuarial science , Statistics , Mathematics , Quantitative Finance , Actuarial Sciences , Statistics for Business/Economics/Mathematical Finance/Insurance , Insurance
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Call number:SPRINGER-2016-9783319296791:ONLINE Show nearby items on shelf
Title:Stochastic Models with Power-Law Tails The Equation X = AX + B
Author(s): Dariusz Buraczewski
Date:2016
Size:1 online resource (5 p.)
Note:10.1007/978-3-319-29679-1
Contents:Introduction -- The Univariate Case -- Univariate Limit Theoru -- Multivariate Case -- Miscellanea -- Appendices
ISBN:9783319296791
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Economic theory , Mathematics , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-2016-9783319279398:ONLINE Show nearby items on shelf
Title:Mathematics in Everyday Life
Author(s): John Haigh
Date:2016
Edition:1st ed. 2016
Size:1 online resource (14 p.)
Note:10.1007/978-3-319-27939-8
Contents:Money -- Differential Equations -- Sport and Games -- Business Applications -- Social Sciences -- TV Game Shows
ISBN:9783319279398
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Differential equations , Game theory , Mathematical models , Mathematics , Mathematics, general , Ordinary Differential Equations , Game Theory, Economics, Social and Behav. Sciences , Mathematical Modeling and Industrial Mathematics
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Call number:SPRINGER-2016-9783319072548:ONLINE Show nearby items on shelf
Title:Elements of Probability and Statistics An Introduction to Probability with de Finetti’s Approach and to Bayesian Statistics
Author(s): Francesca Biagini
Date:2016
Edition:1st ed. 2016
Size:1 online resource (27 p.)
Note:10.1007/978-3-319-07254-8
Contents:1 Random numbers -- 2 Discrete distributions -- 3 One-dimensional absolutely continuous distributions -- 4 Multi-dimensional absolutely continuous distributions -- 5 Convergence of distributions -- 6 Discrete time Markov chains -- 7 Continuous time Markov chains -- 8 Statistics -- 9 Combinatorics -- 10 Discrete distributions -- 11 One-dimensional absolutely continuous distributions -- 12 Absolutely continuous and multivariate distributions -- 13 Markov chains -- 14 Statistics -- 15 Elements of comb inatorics -- 16 Relations between discrete and absolutely continuous distributions -- 17 Some discrete distributions -- 18 Some one-dimensional absolutely continuous distributions -- 19 The normal distribution -- 20 Stirling's formula -- 21 Elements of an alysis -- 22 Bidimensional integrals
ISBN:9783319072548
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:UNITEXT: 98
Keywords: Mathematics , Business mathematics , Mathematical statistics , Probabilities , Physics , Statistics , Applied mathematics , Engineering mathematics , Mathematics , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Probability and Statistics in Computer Science , Business Mathematics , Mathematical Methods in Physics , Appl.Mathematics/Computational Methods of Engineering
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Call number:SPRINGER-2014-9789462390362:ONLINE Show nearby items on shelf
Title:Principles of Mathematical Economics [electronic resource]
Author(s): Shapoor Vali
Date:2014
Publisher:Paris : Atlantis Press : Imprint: Atlantis Press
Size:1 online resource
Note:Under the assumption of a basic knowledge of algebra and analysis, micro and macro economics, this self-contained and self-sufficient textbook is targeted towards upper undergraduate audiences in economics and related fields suchas business, manageme nt and the applied social sciences. The basic economics core ideas and theories are exposed and developed, together with the corresponding mathematical formulations. From the basics, progress is rapidly made tosophisticated nonlinear, economic modelling a nd real-world problem solving. Extensive exercises are included, and the textbook is particularly well-suited for computer-assisted learning
Contents:Household Expenditure
Variables, a Short Taxonomy
Sets and Functions
Market Equilibrium Model
Rates of Change and the Derivative
Optimal Level of Output and Long Run Price
Nonlinear Models
Additional Topics in Perfect and Imperfect Competition
Logarithmic and Exponential Functions
Production Function, Least
Cost Combination
Economic Dynamics
Mathematics of Interest Rates and Finance
Matrices and Their Applications
ISBN:9789462390362
Series:eBooks
Series:SpringerLink
Series:Mathematics Textbooks for Science and Engineering : v3
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Mathematics
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Call number:SPRINGER-2014-9783319069234:ONLINE Show nearby items on shelf
Title:Advances in Applied Mathematics [electronic resource]
Author(s): Ali R Ansari
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This volume contains contributions from the Gulf International Conference in Applied Mathematics, held at the Gulf University for Science & Technology. The proceedings reflects the three major themes of the conference. The firstof these was mathemati cal biology, including a keynote address by Professor Philip Maini. The second theme was computational science/numerical analysis, including a keynote address by Professor Grigorii Shishkin. The conference alsoaddressed more general applications topics, w ith papers in business applications, fluid mechanics, optimization, scheduling problems, and engineering applications, as well as a keynote by Professor Ali Nayfeh
Contents:Modelling invasive processes in biology
Modelling oxygen capillary supply to striated muscle tissues
Modeling human response to bednet promotion campaigns and its impact on malaria transmission
Computational Modelling and Optimal Control of HIV/AIDS Transmission in a Community with Substance Abuse Problem
Standard dierence scheme for a singularly perturbed convection
diusion equation in the presence of perturbations
A Higher Order Immersed Discontinuous Galerkin Finite Element Method for the Acoustic Interface Problem
A parameter uniform numerical method for a bounda
ISBN:9783319069234
Series:eBooks
Series:SpringerLink
Series:Springer Proceedings in Mathematics & Statistics, 2194-1009 : v87
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Numerical analysis
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Call number:SPRINGER-2014-9783319066530:ONLINE Show nearby items on shelf
Title:Modern Problems in Insurance Mathematics [electronic resource]
Author(s): Dmitrii Silvestrov
Anders Martin-Lf
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book is a compilation of 21 papers presented at the International Cramr Symposium on Insurance Mathematics (ICSIM) held at Stockholm University in June, 2013. The book comprises selected contributions from several largeresearch communities in mo dern insurance mathematics and its applications. The main topics represented in the book are modern risk theory and its applications, stochastic modelling of insurance business, new mathematical problems inlife and non-life insurance, and related topics i n applied and financial mathematics. The book is an original and useful source of inspiration and essential reference for a broad spectrum of theoretical and applied researchers,research students and experts from the insurance business. In this way, Moder n Problems in Insurance Mathematics will contribute to the development of research and academyindustry co-operation in the area of insurance mathematicsand its applications
Contents:International Cramer Symposium on Insurance Mathematics
Harald Cramer and Insurance Mathematics
100 Years of the Scandinavian Actuarial Journal
A Note on GerberShiu Functions with an Application
Improved Asymptotics for Ruin Probabilities
Exponential Asymptotical Expansions for Ruin Probability in a Classical Risk Process with Non
Polynomial Perturbations
Asymptotics of Ruin Probabilities for Perturbed Discrete Time Risk Processes
Coherent Risk Measures under Dominated Variation
Estimation of the Ruin Probability in Infinite Time for Heavy Right
Tailed Losses
A Si
ISBN:9783319066530
Series:eBooks
Series:SpringerLink
Series:EAA Series, 1869-6929
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory)
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Call number:SPRINGER-2014-9783319053653:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2012 [electronic resource]
Author(s): Magnus Fontes
Michael Gnther
Nicole Marheineke
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book contains the proceedings of the 17th European Conference on Mathematics for Industry, ECMI2012, held in Lund, Sweden, July 2012, at which ECMI celebrated its 25th anniversary. It covers mathematics in a wide range ofapplications and methods , from circuit and electromagnetic devices, environment, fibers, flow, medicine, robotics and automotive industry, further applications to methods and education. The book includes contributions from leadingfigures in business, science and academia who pro mote the application of mathematics to industry and emphasize industrial sectors that offer the most exciting opportunities. The contributions reinforce the role of mathematics as beinga catalyst for innovation as well as an overarching resource for indus try and business. The book features an accessible presentation of real-world problems in industry and finance, provides insight and tools for engineers andscientists which will help them to solve similar problems, and offers modeling and simulation techni ques that will provide mathematicians with a source of fresh ideas and inspiration
Contents:Preface
25 Years of ECMI: A View Back to its Childhood
Part I Circuits and Electromagnetic Devices
Part II Environment
Part III Fibers
Part IV Flow
Part V Medicine
Part VI Robotics and Automotive Industry
Part VII Further Applications
Part VIII Methods
Part IX Education
ISBN:9783319053653
Series:eBooks
Series:SpringerLink
Series:Mathematics in Industry, 1612-3956 : v19
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Finance , Computer science Mathematics , Mathematical optimization
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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-2014-9783319052601:ONLINE Show nearby items on shelf
Title:Excel 2010 for Health Services Management Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Simone Cummings
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This is the first book to show the capabilities of Microsoft Excel to teach health services management statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel tosolve practical health services management problems. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, awidely available computer program for students a nd managers, is also an effective teaching and learning tool for quantitative analyses in health services management courses. Its powerful computational ability and graphical functionsmake learning statistics much easier than in years past. However, Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching studentsand managers how to apply Excel to statistical techniques necessary in their courses and work. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand healthservices management problems. Practice problems are provided at the end of each chapter with their solutions in an Append ix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what theyhave learned. Includes 160 illustrations in color Suitable for upper undergraduates or graduate students At the beginning of his academic c areer, Prof. Quirk spent six years in educational research at The American Institutesfor Research and Educational Testing Service. He is currently a Professor of Marketing in The Walker School of Business & Technology at Webster University in St. Louis, M issouri (USA), where he teaches Marketing Statistics, MarketingResearch, and Pricing Strategies. He holds a B.S. in Mathematics from John Carroll University, both an M.A. in Education a
Contents:Sample Size, Mean, Standard Deviation and StandardError of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINVFunction and Hypothesis Testing
One
Group t
Test for the Mean
Two
Group t
Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
ANOVA
Appendices
Index
ISBN:9783319052601
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Practice of medicine
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Call number:SPRINGER-2014-9783319050140:ONLINE Show nearby items on shelf
Title:Mathematical and Statistical Methods for Actuarial Sciences and Finance [electronic resource]
Author(s): Cira Perna
Marilena Sibillo
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:The interaction between mathematicians and statisticians working in the actuarial and financial fields is producing numerous meaningful scientific results. This volume, comprising a series of four-page papers, gathers new ideasrelating to mathematica l and statistical methods in the actuarial sciences and finance. The book covers a variety of topics of interest from both theoretical and applied perspectives, including: actuarial models alternative testingapproaches behavioral finance clustering techni ques coherent and non-coherent risk measures credit-scoring approaches data envelopment analysis dynamic stochastic programming financial contagion models financial ratios
Contents:1 I. Albarrn, P. Alonso, A.Arribas
Gil and A. Gran: Can personal dependency paths help to estimate life expectancy free of dependency?
2 A. Amendola and V. Candila: Evaluation of volatility forecasts in a VaR framework
3 A. Amendola and M. Restaino: Optimal cut
off points for multiple causes of business failure models
4 R. Baragona, F. Battaglia and D. Cucina: Maximum empirical likelihood inference for outliers in autoregressive time series
5A. Basso and S. Funari: The role of fund size and returns to scale in the performance of mutual funds
6 M. Biancardi and G. Villani: A ro
ISBN:9783319050140
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Mathematical statistics
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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-2014-9783319015958:ONLINE Show nearby items on shelf
Title:Data Analysis, Machine Learning and Knowledge Discovery [electronic resource]
Author(s): Myra Spiliopoulou
Lars Schmidt-Thieme
Ruth Janning
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be appliedto a vast set of app lications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning andknowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012
Contents:AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection
AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks
AREA Data Analysis and Classification in Marketing
AREA Data Analysis in Finance
AREA Data Analysis in Biostatistics and Bioinformatics
AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology
LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science
ISBN:9783319015958
Series:eBooks
Series:SpringerLink
Series:Studies in Classification, Data Analysis, and Knowledge Organization, 1431-8814
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Statistical methods , Mathematical statistics , Marketing , Philosophy (General)
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Call number:SPRINGER-2013-9789491216831:ONLINE Show nearby items on shelf
Title:An Introduction to Order Statistics [electronic resource]
Author(s): Mohammad Ahsanullah
Valery B Nevzorov
Mohammad Shakil
Date:2013
Publisher:Paris : Atlantis Press : Imprint: Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents the theory of order statistics in a way, such that beginners can get easily acquainted with the very basis of the theory without having to work through heavily involved techniques. At the same time moreexperienced readers can check their level of understanding and polish their knowledge with certain details. This is achieved by, on the one hand, stating the basic formulae and providing many useful examples to illustrate thetheoretical statements, while on the other hand an upgraded list of references will make it easier to gain insight into more specialized results. Thus this book is suitable for a readership working in statistics, actuarial mathematics,reliability engineering, meteorology, hydrology, business economics, sports ana lysis and many more
Note:Springer eBooks
Contents:Basic definitions
Distributions of order statistics
Sample quantiles and ranges
Representations for order statistics
Conditional distributions of order statistics
Order statistics for discrete distributions
Moments of order statistics: general relations
Moments of uniform and exponential order statistics
Moment relations for order statistics: normal distribution
Asymptotic behavior of the middle and intermediate order statistics
Asymptotic behavior of the extreme order statistics
Some properties of estimators based on order statistics
Minimum variance linear u
ISBN:9789491216831
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v3
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9783319006307:ONLINE Show nearby items on shelf
Title:Excel 2010 for Physical Sciences Statistics [electronic resource] : A Guide to Solving Practical Problems
Author(s): Thomas J Quirk
Meghan Quirk
Howard Horton
Date:2013
Publisher:Heidelberg : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is the first book to show the capabilities of Microsoft Excel to teach physical sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solvepractical science problem s. If understanding statistics isnt your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Each chapter explains statisticalformulas and directs the reader to use Excel command s to solve specific, easy-to-understand science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a fullPractice Test (with answers in an Appendix) that allows readers to test wha t they have learned. Includes 159 illustrations in color. Suitable for undergraduates or graduate students. Professor.Thomas J. Quirk is currently a Professor of Marketing in the Walker School of Business and Technology at Webster University in St. Loui s, Missouri (USA). He has published over 20 articles in professional journals and presented morethan 20 papers at professional conferences. He holds a B.S. in Mathematics from John Carroll University, and both an M.A. in Education and a Ph.D. in Education al Psychology from Stanford University, as well as an M.B.A. from theUniversity of Missouri-St. Louis. Dr. Meghan H. Quirk holds both a Ph.D. in Biological Education and an M.A. in Biological Sciences from the University of Northern Colorado (UNC) and a B .A. in Biology and Religion at Principia Collegein Elsah, Illinois. She has done research on foodweb dynamics at Wind Cave National Park in South Dakota and research in agro-ecology in Southern Belize. She has co-authored an article on shortgrass steppe e cosystems in Photochemistry& Photobiology. She was a National Science Foundation Fellow GK-12, and currently teaches in Bailey, Colorado. Howard F. Horton holds an
Note:Springer eBooks
ISBN:9783319006307
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics
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Call number:SPRINGER-2013-9781461450948:ONLINE Show nearby items on shelf
Title:Systems Analysis Tools for Better Health Care Delivery [electronic resource]
Author(s): Panos M Pardalos
Pando G Georgiev
Petraq Papajorgji
Britta Neugaard
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 presents some recent systems engineering and mathematical tools for health care along with their real-world applications by health care practitioners and engineers. Advanced approaches, tools, and algorithms used inoperating room scheduling and patient flow are covered. State-of-the-art results from applications of data mining, business process modeling, and simulation in healthcare, together with optimization methods, form the core of thevolume. Systems Analysis Tools for Better Health Car e Delivery illustrates the increased need of partnership between engineers and health care professionals. This book will benefit researchers and practitioners in health care deliveryinstitutions, staff members and professionals of specialized hospital uni ts, and lecturers and graduate students in engineering, applied mathematics, business administration and health care
Note:Springer eBooks
ISBN:9781461450948
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v74
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Practice of medicine , Mathematical optimization
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Call number:SPRINGER-2013-9781461450221:ONLINE Show nearby items on shelf
Title:Mathematical Statistics for Economics and Business [electronic resource]
Author(s): Ron C Mittelhammer
Date:2013
Edition:2nd ed. 2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, andeconometrics. The sele ction of topics in this textbook is designed to provide studentswith a conceptual foundation that will facilitate a substantial understanding of statistical applications in these subjects. This new editionhas been updated throughout and now also includes a downloadable Student Answer Manual containing detailed solutions to half of the over 300 end-of-chapter problems. After introducing the concepts of probability, random variables, andprobability density functions, the author develops the key concepts of mathematical statistics, most notably: expectation, sampling, asymptotics, and the main families of distributions. The latter half of the book is then devoted tothe theories of estimation and hypothesis testing with associated examples and problems that i ndicate their wide applicability in economics and business. Features of the new edition include: a reorganization of topic flow andpresentation to facilitate reading and understanding inclusion of additional topics of relevance to statistics and econometr ic applications a more streamlined and simple-to-understand notation for multiple integration and multiplesummation over general sets or vector arguments updated examples new end-of-chapter problems a solution manual for students a comprehensive answer ma nual for instructors anda theorem anddefinition map. This book has evolvedfrom numerous graduate courses in mathematical statistics and econometrics taught by the author, and will be ideal for students beginning graduate study as well as for advanced unde rgraduates.
Note:Springer eBooks
Contents:Elements of Probability Theory
Random Variables, Densities, and Cumulative Distribution Functions
Expectations and Moments of Random Variables
Parametric Families of Density Functions
Basic Asymptotics
Sampling, Sample Moments, Sampling Distributions, and Simulation
Point Estimation Theory
Point Estimation Methods
Hypothesis Testing Theory
Hypothesis Testing Methods and Confidence Regions
Appendix
ISBN:9781461450221
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Statistics , Economics Statistics , Econometrics
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Call number:SPRINGER-2013-9781461448693:ONLINE Show nearby items on shelf
Title:The Methods of Distances in the Theory of Probability and Statistics [electronic resource]
Author(s): Svetlozar T Rachev
Lev B Klebanov
Stoyan V Stoyanov
Frank Fabozzi
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 covers the method of metric distances and its application in probability theory and other fields. The method is fundamental in the study of limit theorems and generally in assessing the quality of approximations to agiven probabilistic mode l. The method of metric distances is developed to study stability problems and reduces to the selection of an ideal or the most appropriate metric for the problem under consideration and a comparison ofprobability metrics. After describing the basic struc ture of probability metrics and providing an analysis of the topologies in the space of probability measures generated by different types of probability metrics, the authors studystability problems by providing a characterization of the ideal metrics for a given problem and investigating the main relationships between different types of probability metrics. The presentation is provided in a general form,although specific cases are considered as they arise in the process of finding supplementary bounds or in applications to important special cases. Svetlozar T. Rachev is the Frey Family Foundation Chair of QuantitativeFinance, Department of Applied Mathematics and Statistics, SUNY-Stony Brook and Chief Scientist of Finanlytica, USA. Lev B. Klebanov is a P rofessor in the Department of Probability and Mathematical Statistics, Charles University,Prague, Czech Republic. Stoyan V. Stoyanov is a Professor at EDHEC Business School and Head of Research, EDHEC-Risk InstituteAsia (Singapore). Frank J. Fabozzi is a Professor at EDHEC Business School. (USA)
Note:Springer eBooks
Contents:Main directions in the theory of probability metrics
Probability distances and probability metrics: Definitions
Primary, simple and compound probability distances, and minimal and maximal distances and norms
A structural classification of probability distances
Monge
Kantorovich mass transference problem, minimal distances and minimal norms
Quantitative relationships between minimal distances and minimal norms
K
Minimal metrics
Relations between minimal and maximal distances
Moment problems related to the theory of probability metrics: Relations between compound and primar
ISBN:9781461448693
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2012-9788847024069:ONLINE Show nearby items on shelf
Title:TransMath [electronic resource] : Innovative Solutions from Mathematical Technology
Author(s): Peregrina Quintela
Ana Beln Fernndez
Adela Martnez
Guadalupe Parente
Mara Teresa Snchez
Date:2012
Publisher:Milano : Springer Milan : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book TransMath -Innovative Solutions from Mathematical Technology has been conceived as a tool for the dissemination of scientific knowledge. This publication is addressed to those companies with innovation needs thatcould be met through mathemat ical technology. The book maps both existing and possible interactions and connections that enable technology transfer between Spanish mathematical research and industrial and business sectors. Businessescan determine the level of implementation and deman d for such technology within their sector and understand the benefits and innovations achieved in other companies and industries with the application of mathematical techniques. Theinformation is classified into eleven sectors of economic activity: Biomed icine & Health Construction Economics & Finance Energy & Environment Food ICT Logistics & Transport Management & Tourism Metal & Machinery PublicAdministration and Technical Services
Note:Springer eBooks
Contents:1. Introduction
2. i
MATH Map of Demand for Mathematical Technology (TransMATH Demand Map)
3. i
MATH Map of Supply of Mathematical Technology (TransMATH Supply Map)
ISBN:9788847024069
Series:e-books
Series:SpringerLink (Online service)
Series:Sxi Springer per lInnovazione / Sxi Springer for Innovation, 2239-2688 : v1
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2012-9783642251009:ONLINE Show nearby items on shelf
Title:Progress in Industrial Mathematics at ECMI 2010 [electronic resource]
Author(s): Michael Gnther
Andreas Bartel
Markus Brunk
Sebastian Schps
Michael Striebel
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:ECMI, the European Consortium for Mathematics in Industry, is the European brand associated with applied mathematics for industry and organizes highly successful biannual conferences. In this series, the ECMI 2010, the 16thEuropean Conference on Math ematics for Industry, was held in the historic city hall of Wuppertal in Germany. It covered the mathematics of a wide range of applications and methods, from circuit and electromagnetic device simulation tomodel order reduction for chip design, uncertain ties and stochastics, production, fluids, life and environmental sciences, and dedicated and versatile methods. These proceedings of ECMI 2010 emphasize mathematics as an innovationenabler for industry and business, and as an absolutely essential pre-requ iste for Europe on its way to becoming the leading knowledge-based economy in the world
Note:Springer eBooks
Contents:Part I Circuit and Electromagnetic Device Simulation
Part II Model Order Reduction for Chip Design
Part III Uncertainties and Stochastics
Part IV Production
Part VI Life and Environmental Sciences
Part VII Dedicated and Versatile Methods
Index
ISBN:9783642251009
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics in Industry, 1612-3956 : v17
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differential Equations , Differential equations, partial , Finance , Computer science Mathematics , Mathematical optimization
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Call number:SPRINGER-2012-9781461436706:ONLINE Show nearby items on shelf
Title:Multicriteria Portfolio Management [electronic resource]
Author(s): Panos Xidonas
George Mavrotas
Theodore Krintas
John Psarras
Constantin Zopounidis
Date:2012
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The disastrous impact of the recent worldwide financial crisis in the global economy has shown how vulnerable international markets are. The insufficiency of our models and tools to effectively intercept the overwhelmingconsequences of the decline ha s to be the starting point for re-designing and re-engineering existing portfolio management methods and tools. Under this rationale, three strong necessities become apparent: a) The enhancement ofcurrent PM processes and ontologies, b) The improvement o f the effectiveness of contemporary portfolio engineering models, and c) The augmentation of the operational transparency and compliance within the PM practice. The methods,tools, and analytics that are presented in this book directly deal with the above objectives and assist in the enhancement of current state-of-the-art by introducing innovative and integrated investment business analytics andframeworks, launching new powerful and robust decision support algorithmic tools and mechanisms, and exploiting multiple risk metrics and standardized risk management procedures, within a fertile coalition. The target audience ofthis book includes a diversified group of readers, such as portfolio managers, financial managers, economists, bankers, as well as operat ions researchers and management scientists. Moreover, this monograph can also be used as atextbook for graduate courses in portfolio theory, investment analysis and fund management
Note:Springer eBooks
Contents:1. Introduction
2. Multicritera Portfolio Management
3. Stock Selection
4. Portfolio Optimization
5. Portfolio Performance Evaluation
6. Applied Portfolio Management
7. Conclusions
References
ISBN:9781461436706
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v69
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Mathematical optimization
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Call number:SPRINGER-2012-9781461432265:ONLINE Show nearby items on shelf
Title:Pyomo Optimization Modeling in Python [electronic resource]
Author(s): William E Hart
Carl Laird
Jean-Paul Watson
David L Woodruff
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book provides a complete and comprehensive guide to Pyomo(Python Optimization Modeling Objects) for beginning and advanced modelers, including students at the undergraduate and graduate levels, academic researchers, andpractitioners. Modeling is a fundamental process in many aspects of scientific research, engineering, and business. This text beautifully illustrates the breadth of the modeling capabilities that are supported by this new software andits handling of complex real-world applications . Pyomo is an open source software package for formulating and solving large-scale optimization problems. The software extends the modeling approach supported by modern AML (AlgebraicModeling Language) tools.Pyomo is a flexible, extensible, and portable AML that is embedded in Python, a full-featured scripting language.Python is a powerful and dynamic programming language that has a very clear, readable syntaxand intuitive object orientation. Pyomo includes Python classes for defining sparse sets, parame ters, and variables, which can be used to formulate algebraic expressions that define objectives and constraints. Moreover, Pyomo can beused from a command-line interface and within Python's interactive command environment, which makes it easy to create P yomo models, apply a variety of optimizers, and examine solutions. The text begins with a tutorial on simplelinear and integer programming models. Information needed to install and get started with the software is also provided. A detailed reference of P yomo's modeling components is illustrated with extensive examples, including a discussionof how to load data from sources like spreadsheets and databases. The final chapters cover advanced topics such as nonlinear models, stochastic models, and scripting examples
Note:Springer eBooks
Contents:Preface
1. Introduction
2. Pyomo Modeling Strategies
3. Model Components: Variables, Objectives and Constraints
4. Model Components: Sets and Parameters
5. Mischellaneous Model Components and Utility Functions
6. Initializing Abstract Models with Data Command Files
7. The Pyomo Command
Line Interface
8. Nonlinear Programming with Pyomo
9. Stochastic Programming Extensions
10. Scripting and Algorithm Development
A. Installing Coopr
B. A Brief Python Tutorial
C. Pyomo and Coopr: The Bigger Picture
Index
ISBN:9781461432265
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v67
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computer simulation , Computer science Mathematics , Computer software , Mathematical optimization
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Call number:SPRINGER-2012-9781461418917:ONLINE Show nearby items on shelf
Title:Fractal-Based Methods in Analysis [electronic resource]
Author(s): Herb Kunze
Davide La Torre
Franklin Mendivil
Edward R Vrscay
Date:2012
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The idea of modeling the behavior of phenomena at multiple scales has become a useful tool in both pure and applied mathematics. Fractal-based techniques lie at the heart of this area, as fractals are inherently multiscaleobjects they very often desc ribe nonlinear phenomena better than traditional mathematical models. In many cases they have been used for solving inverse problems arising in models described by systems of differential equations anddynamical systems. Fractal-Based Methods in Analysis draws together, for the first time in book form, methods and results from almost twenty years of research in this topic, including new viewpoints and results in many of thechapters. For each topic the theoretical framework is carefully explained using exa mples and applications. The second chapter on basic iterated function systems theory is designed to be used as the basis for a course and includesmany exercises. This chapter, along with the three background appendices on topological and metric spaces, m easure theory, and basic results from set-valued analysis, make the book suitable for self-study or as a source book for agraduate course. The other chapters illustrate many extensions and applications of fractal-based methods to different areas. This boo k is intended for graduate students and researchers in applied mathematics, engineering and socialsciences. Herb Kunze is a Professor in the Department of Mathematics and Statistics, University of Guelph. Davide La Torre is an Associate Professor in the Department of Economics, Business and Statistics, University of Milan.Franklin Mendivil is a Professor in the Department ofMathematics and Statistics, Acadia University.Edward R. Vrscay is a Professor in the Department of Applied Mathematics, Faculty of M athematics, University of Waterloo. A majorfocus of their research is fractals and their applications
Note:Springer eBooks
Contents:What do we mean by Fractal
Based Analysis
Basic IFS
IFS on Spaces of Functions
IFS, Multifunctions, and Measure
Valued Functions
IFS on Spaces of Measures
The Chaos Game
Inverse Problems and Fractal
Based Methods
Further Developments and Extensions
References
Index
ISBN:9781461418917
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Differentiable dynamical systems , Differential Equations , Mathematical physics
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Call number:SPRINGER-2012-9781461405740:ONLINE Show nearby items on shelf
Title:Regression Analysis Under A Priori Parameter Restrictions [electronic resource]
Author(s): Pavel S Knopov
Arnold S Korkhin
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Construction of various models of objects under uncertainty is one of the most important problems in modern decision making theory. Regression models are some of the most prevalent tools for modeling under uncertainty and arewidely applied in differe nt branches of science such as in industrial research, agriculture, medicine, and business and economics. Regression Analysis Under A Priori Parameter Restrictions will be of interest to a broad spectrum ofreaders in applied mathematics, mathematical stat istics, identification theory, systems analysis, econometrics, finance, optimization, and other scientific disciplines. Requiring a background in algebra, probability theory,mathematical statistics, and mathematical programming, this work may also be a us eful supplement for advanced graduate courses in estimation theory, regression analysis, mathematical statistics, econometrics, mathematical programmingand optimal control, and stochastic optimization. The material contained in this monographsuccessfully combines interesting theoretical results with methods and algorithms for solving practical problems. It focuses on theconstruction of regression models with linear and non-linear constraint inequalities and is the first book in which the theoretical resul ts lying in the background of construction and studying regression models with inequalityconstraints on parameters are presented systematically and solidly. Problems are described and studied in a clear, precise, and rigorous method and include: calculati on of estimates for regression parameters, determination of theirasymptotic properties and accuracy of estimation, point and interval prediction by the regression, parameters of which are estimated under inequality constraints. The authors approach lends itself to numerous applications in variouspractical problems, several of which are discussed in detail
Note:Springer eBooks
ISBN:9781461405740
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v54
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics
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Call number:SPRINGER-2012-9780817683467:ONLINE Show nearby items on shelf
Title:An Introduction to Continuous-Time Stochastic Processes [electronic resource] Theory, Models, and Applications to Finance, Biology, and Medicine
Author(s): Vincenzo Capasso
David Bakstein
Date:2012
Edition:2nd ed. 2012
Publisher:Boston, MA : Birkhuser Boston : Imprint: Birkhuser
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:From reviewsof First Edition: The book is... an account of fundamental concepts as they appear in relevant modern applications and literature.... The book addresses three main groups: first, mathematicians working in adifferent field second, other sc ientists and professionals from a business or academic background third, graduate or advanced undergraduate students of a quantitative subject related to stochastic theory and/or applications.Zentralblatt MATH This is an introductory text on continuous ti me stochastic processes and their applications to finance and biology. ... The book will be useful for applied mathematicians who are not probabilists to get a quickflavour of the techniques of stochastic calculus, and for professional probabilists to get a quick flavour of the applications. Mathematical Reviews Revised and enhanced, this conciselywritten second edition of An Introduction toContinuous-Time Stochastic Processes is a rigorousand self-contained introduction to the theoryof continuous-time st ochastic processes, stochastic integrals,and stochastic differentialequations. Expertly balancing theory andapplications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and ins urance using stochastic methods. No previous knowledge of stochastic processes isrequired. Key topicsinclude: * Markov processes * Stochastic differential equations * Arbitrage-free markets and financial derivatives * Insurance risk * Population dynamics * Agent-based models New to the Second Edition: * Improvedpresentation of original concepts * Expanded background on probability theory * Substantial material applicable tofinance and biology, including stable laws, Lvy processes, and It-Lvy calculus *Sup plemental appendix toprovidebasic facts on semigroups of linear operators An Introduction to Continuous-Time Stochastic Processes, Second Editionwill be of inte
Note:Springer eBooks
Contents:Part I. The Theory of Stochastic Processes
Fundamentals of Probability
Stochastic Processes
The It Integral
Stochastic Differential Equations
Part II. The Applications of Stochastic Processes
Applications to Finance and Insurance
Applications to Biology and Medicine
Part III. Appendices
Measure and Integration
Convergence of Probability Measures on Metric Spaces
Elliptic and Parabolic Operators
D Semigroups and Linear Operators
E Stability of Ordinary Differential Equations
References
ISBN:9780817683467
Series:e-books
Series:SpringerLink (Online service)
Series:Modeling and Simulation in Science, Engineering and Technology, 2164-3679
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Distribution (Probability theory) , Engineering mathematics
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Call number:SPRINGER-2012-9780817683191:ONLINE Show nearby items on shelf
Title:A Beginner's Guide to Finite Mathematics [electronic resource] For Business, Management, and the Social Sciences
Author(s): W.D Wallis
Date:2012
Edition:2nd ed. 2012
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The present textbook gives a concise introduction to finite mathematics. It covers the topics counting, discrete probability, graph theory, linear equations, and linear programmingThe mathematical level seems higher thanthe average US textbook on thi s topic. It is well written and easy to read, with many examples and applications. Internationale Mathematische Nachrichten (Review of First Edition) This book is designed for an elementaryone-semester course in finite mathematics and applications. Finite mathematics here means applicable discrete mathematics used by students in business, management and social sciencesA number of worked examples, called sampleproblems, are included in the body of each section. Every chapter is closed with a lot of exercis es complete solutions are provided at the end of the bookI would recommend this book [to] everyone who wants to have a first look atapplied discrete mathematics. Simulation News (Review of First Edition) This second edition of A Beginners Guide to Finite Mathematics: For Business, Management, and the Social Sciencestakes a distinctly applied approachto finite mathematics at the freshman and sophomore level. Topics are presented sequentially: the book opens with a brief review of sets and numbers, followed by an introduction to data sets, histograms, means and medians. Countingtechniques and the Binomial Theorem are covered, which provide the foundation for elementary probability theory this, in turn, leads to basic statistics. This new edition includes ch apters on game theory and financial mathematics.Graph theory is defined, with particular emphasis on its use in mathematical modeling. Matrices and vectors are discussed, along with several elementary commercial applications, including linear programming, the theory of games, andfinancial mathematics. Ample examples and illustrations are provided throughout each section contains two sets of problems, with solutio
Note:Springer eBooks
Contents:Preface
Numbers and Sets
Counting
Probability
Graph Theory
Linear Equations and Matrices
Linear Programming
Theory of Games
Financial Mathematics
Your Turn Solutions
Answers to Exercises A
Index
ISBN:9780817683191
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Combinatorics , Logic, Symbolic and mathematical , Distribution (Probability theory)
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Call number:SPRINGER-2011-9789491216145:ONLINE Show nearby items on shelf
Title:Bayesian Theory and Methods with Applications [electronic resource]
Author(s): Vladimir Savchuk
Chris P Tsokos
Date:2011
Publisher:Paris : Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Bayesian methods are growing more and more popular, finding new practical applications in the fields of health sciences, engineering, environmental sciences, business and economics and social sciences, among others. This bookexplores the use of Bayes ian analysis in the statistical estimation of the unknown phenomenon of interest. The contents demonstrate that where such methods are applicable, they offer the best possible estimate of the unknown. Beyondpresenting Bayesian theory and methods of analys is, the text is illustrated with a variety of applications to real world problems
Note:Springer eBooks
ISBN:9789491216145
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v1
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Statistical methods , Mathematics , Mathematical statistics
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Call number:SPRINGER-2011-9783642167294:ONLINE Show nearby items on shelf
Title:The Linear Ordering Problem [electronic resource] Exact and Heuristic Methods in Combinatorial Optimization
Author(s): Rafael Mart
Gerhard Reinelt
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex optimization problems abound in the real world. In the face of these challenges, established methods often fall short of providing solutions. However, exact and heuristic techniques are dramatically enhancingour ability to solve significant p ractical problems in the world of optimization. They are changing the landscape in the field, broadening the frontiers of the possible, and allowing us to engage effectively with a whole new range ofchallenges. This monograph sets out state-of-the-art opt imization methods for tackling the linear ordering problem (LOP). Whereas important applications in business, engineering and economics lie beyond the reach of methodologiesthat have been the focus of academic research for three decades, the fresh approac hes set out in this volume provide practical solutions to the LOP. The focus on the LOP does not limit the monographs scope and applicability,however. The exact and heuristic techniques outlined in these pages can be put to use in any number of combinator ial optimization problems. While the authors employ the LOP to illustrate cutting-edge optimization technologies, the bookis also a tutorial on how to design effective and successful implementations of exact and heuristic procedures alike. The information in these pages provides readers with a toolkit that can be employed in a variety of settings. As aresult, the book will be of great interest to researchers and practitioners in a number of fields, including computer science, mathematics, operations resea rch, management science, industrial engineering, and economics. It is alsosuitable for use as a textbook on issues of practical optimization in a masters course, or as a reference book for engineering optimization algorithms. The authors have sought to ma ke the book accessible to as wide an audience aspossible by providing the reader with basic definitions and concepts in optimization. In addition, the numerous tutorials aid speedy
Note:Springer eBooks
Contents:1 Introduction
2 Heuristic Methods
3 Meta
Heuristics
4 Branch
and
Bound
5 Branch
and
Cut
6 The Linear Ordering Polytope
7 Further Aspects
References
Index
ISBN:9783642167294
Series:e-books
Series:SpringerLink (Online service)
Series:Applied Mathematical Sciences, 0066-5452 : v175
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computational complexity , Computer science , Algorithms , Mathematical optimization
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Call number:SPRINGER-2011-9783642160295:ONLINE Show nearby items on shelf
Title:Introduction to Insurance Mathematics [electronic resource] : Technical and Financial Features of Risk Transfers
Author(s): Annamaria Olivieri
Ermanno Pitacco
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The book aims at presenting technical and financial features of life insurance, non-life insurance, pension plans. The book has been planned assuming non-actuarial readers as its natural target, namely - advancedundergraduate and graduate students in Economics, Business and Finance - professionals and technicians operating in Insurance and pension areas, whose job may regard investments, risk analysis, financial reporting, etc, and henceimplies a communication with actuarial professionals and manager s. Given the assumed target, the book focuses on technical and financial aspects of insurance, however avoiding the use of complex mathematical tools. In this sense, thebook can be placed at some midpoint of the existing literature, part of which adopts m ore formal approaches to insurance problems implying the use of non-elementary mathematics, whereas another part addresses practical questionstotally avoiding even simple mathematical tools (which, in our opinion, can conversely provide effective tools fo r presenting technical and financial features of the insurance business)
Note:Springer eBooks
Contents:Risks and insurance
Managing a portfolio of risks
Life insurance: modelling the lifetime
Life insurance: pricing
Life insurance: reserving
Reserves and profits in a life insurance portfolio
Finance in life insurance: linking benefits to the investment performance
Pension plans: technical and financial perspectives
Non
life insurance: pricing and reserving
ISBN:9783642160295
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics Statistics , Banks and banking
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Call number:SPRINGER-2011-9781441917720:ONLINE Show nearby items on shelf
Title:Introduction to Modeling and Analysis of Stochastic Systems [electronic resource]
Author(s): V. G Kulkarni
Date:2011
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This is an introductory-level text on stochastic modeling. It is suited for undergraduate students in engineering, operations research, statistics, mathematics, actuarial science, business management, computer science, and publicpolicy. It employs a large number of examples to teach the students to use stochastic models of real-life systems to predict their performance, and use this analysis to design better systems. The book is devoted to the study ofimportant classes of stochastic processes: discre te and continuous time Markov processes, Poisson processes, renewal and regenerative processes, semi-Markov processes, queueing models, and diffusion processes. The book systematicallystudies the short-term and the long-term behavior, cost/reward models, and first passage times. All the material is illustrated with many examples, and case studies. The book provides a concise review of probability in the appendix.The book emphasizes numerical answers to the problems. A collection of MATLAB programs to acco mpany the this book can be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maxim.zip. A graphical user interface to access the above filescan be downloaded from http://www.unc.edu/~vkulkarn/Maxim/maximgui.zip . The second edition incorporates several c hanges. First its title reflects the changes in content: the chapters on design and control have been removed. The booknow contains several case studies that teach the design principles. Two new chapters have been added. The new chapter on Poisson process es gives more attention to this important class of stochastic processes than the first edition did.The new chapter on Brownian motion reflects its increasing importance as an appropriate model for a variety of real-life situations, including finance. V. G . Kulkarni is Professor in the Department of Statistics and Operations Researchin the University of North Carolina, Chapel Hill. He has authored a graduate-level text Modeling and Analysis of Stochastic
Note:Springer eBooks
Contents:Introduction
Discrete
Time Markov Models
Poisson Processes
Continuous
Time Markov Models
Generalized Markov Models
Queueing Models
Brownian Motion
ISBN:9781441917720
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Texts in Statistics, 1431-875X
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
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Call number:SPRINGER-2010-9784431538530:ONLINE Show nearby items on shelf
Title:Econophysics Approaches to Large-Scale Business Data and Financial Crisis [electronic resource]
Author(s): Misako Takayasu
Tsutomu Watanabe
Hideki Takayasu
Date:2010
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The new science of econophysics has arisen out of the information age. As large-scale economic data are being increasingly generated by industries and enterprises worldwide, researchers from fields such as physics, mathematics,and information science s are becoming involved. The vast number of transactions taking place, both in the financial markets and in the retail sector, is usually studied by economists and management and now by econophysicists. Usingcutting-edge tools of computational analysis wh ile searching for regularities and laws such as those found in the natural sciences, econophysicists have come up with intriguing results. The ultimate aim is to establishfundamental data collection and analysis techniques that embrace the expertise of a variety of academic disciplines. This book comprises selected papers from the international conference on novel analytical approaches to economic dataheld in Tokyo in March 2009. The papers include detailed reports on the market behavior during the financ ial crisis of 2008 and discussions on the mechanism of bubbles and crashes, with proposals for avoiding new crises. Filled withup-to-date research, this book will interest researchers and students, finance professionals, and scholars in diverse fields
Note:Springer eBooks
Contents:1 Financial Market Properties
Trend Switching Processes in Financial Markets
Nonlinear Memory and Risk Estimation in Financial Records
Microstructure and Execution Strategies in the Global Spot FX Market
Temporal Structure of Volatility Fluctuations
Theoretical Base of the PUCK
Model with Application to Foreign Exchange Markets
2 Financial Crisis and Macroeconomics
Financial Bubbles, Real Estate Bubbles, Derivative Bubbles, and the Financial and Economic Crisis
Global and Local Approaches Describing Critical Phenomena on the Developing and Developed Financial Markets
ISBN:9784431538530
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Data mining , Economics Statistics , Econometrics
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Call number:SPRINGER-2010-9783642116728:ONLINE Show nearby items on shelf
Title:Gsta Mittag-Leffler [electronic resource] : A Man of Conviction
Author(s): Arild Stubhaug
Date:2010
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Gsta Mittag-Leffler (18461927) played a significant role on the world stage as both a scientist and entrepreneur. Regarded as the father of Swedish mathematics, his influence extended far beyond his chosen field because ofhis extensive network of int ernational contacts in science, business, and the arts. His social and professional circles included such luminaries as Selma Lagerlf, Albert Einstein, Sonya Kovalevsky, Alfred Nobel, Karl Weierstrass,Henri Poincar, and Marie Curie. (He was instrumental i n seeing to it that the latter was awarded the Nobel Prize, not once but twice.) One of Mittag-Lefflers major accomplishments was the founding of the journal Acta Mathematicain 1882. Today the journal is still published by Institut Mittag-Leffler and Swed ens Royal Academy of Sciences, and it continues to be one of the most prestigious journals in mathematics. Arild Stubhaugs research for thismonumental biography of the Swedish mathematician relied on a wealth of primary and secondary resources, including more than 30000 letters that are part of the Mittag-Leffler archives. Written in a lucid and compelling manner, thebiography contains many hitherto unknown facts about Mittag-Lefflers personal life and professional endeavors. It will be of great interest to both mathematicians and general readers interested in science and culture
Note:Springer eBooks
Contents:Prelude
Journey at the Turn of the Century
The House in Djursholm
Family and Childhood
Leffler and Mittag
Gstas Parents
The Teachers Family in Stockholm
Four Years at Stockholm Gymnasium
Studies
First Semester in Uppsala
Festivities and Student Drills
Summer on the West Coast
The Aristocracy of Lennartsns
Controversy over the Academic Degree Regulations
His Sisters Debut and His Fathers Illness
First Trip Abroad
The Stablemaster at vrejrva
Doctoral Degree
Docent in Uppsala
A Turning Point
With a Room in Paris
In
ISBN:9783642116728
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Science (General) , Science History , Mathematics_$xHistory , Engineering
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Call number:SPRINGER-2010-9781441916365:ONLINE Show nearby items on shelf
Title:Complex Intelligent Systems and Their Applications [electronic resource]
Author(s): Fatos Xhafa
Leonard Barolli
Petraq J Papajorgji
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Complex Intelligent Systems and Their Applications presents the most up-to-date advances in complex, software intensive and intelligent systems. Each self-contained chapter is the contribution of distinguished experts inareas of research relevant to the study of complex, intelligent and software intensive systems. These contributions focus on the resolution of complex problems from areas of networking, optimization and artificial intelligence. Thisbook is divided into three parts focusing on complex intelligent network systems, efficient resource management in complex systems, and artificial data mining systems. Through the presentation of these diverse areas of application, thevolume provides insights into the multidisciplinary nature of complex pro blems. Throughout the entire book, special emphasis is placed on optimization and efficiency in resource management, network interaction, and intelligent systemdesign. Key Features of Complex Intelligent Systems and Their Applications include: - Considers the multi-disciplinary nature of complex problems in intelligent systems and a range of state-of-the-art techniques used to resolvethese problems. - Graduate students as well as researchers will find this a useful guide to the most up-to-date techniques available to resolve complex problems in networking, optimization, and artificial intelligence. - Real lifeexamples presented throughout the book extend the texts suitability to practitioners. This book presents the most recent interdisciplinary results i n this area of research and can serve as a valuable tool for researchers interestedin defining and resolving the types of complex problems that arise in networking, optimization, and artificial intelligence
Note:Springer eBooks
Contents:Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models
An Ontology
Based Approach for Supporting Business
IT Alignment
EPCIS
Based Supply Chain Event Management
Cost
Benefit Analysis to Hedge with Third
Party Producers in Demand
Driven Production
A Security Assurance Model to Holistically Assess the Information Security Posture
Risk
Aware Business Process ManagementEstablishing the Link Between Business and Security
Self
Optimised Tree Overlays Using Proximity
Driven Self
Organised Agents
Filtering Order Adaptation B
ISBN:9781441916365
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v41
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer network architectures , Computer system performance , Computer science , Artificial intelligence , Operations research
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Call number:SPRINGER-2009-9788847008465:ONLINE Show nearby items on shelf
Title:Ricerca Operativa [electronic resource]
Author(s): Paolo Serafini
Date:2009
Publisher:Milano : Springer Milan : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Il volume tratta alcuni fra i temi pi importanti della Ricerca Operativa, traendo spunti da alcuni problemi reali di carattere gestionale e cercando di dare al lettore un metodo di modellizzazione e di risoluzione, cos dafornire quella professionalit che poi permetter di risolvere casi reali abbastanza complessi. A questo riguardo la Programmazione lineare e la Programmazione lineare intera svolgono nel testo un ruolo centrale, come utensiliprincipali del processo risolutivo. I problemi proposti, ini zialmente presentati in forma semplice, sono poi modellati in modo sempre pi complesso. Gli strumenti analitici e informatici per progettare e risolvere i modelli vengonospiegati facendo riferimento ai problemi stessi
Note:Springer eBooks
Contents:Introduzione
Esempi di modelli
Ottimalit con molti obiettivi
Programmazione lineare Propriet generali
Programmazione lineare Risoluzione di modelli
Grafi e modelli particolari su grafi
Programmazione lineare intera Metodi risolutivi
Programmazione lineare intera Risoluzione di modelli
Modelli di percorsi Cammini minimi
Modelli di percorsi Cammini con capacit
Modelli particolari di PL
Metodi euristici
Modelli di allocazione Assegnamenti e accoppiamenti
Esempi di assegnamenti
Modelli di percorsi Vincoli sugli archi
Modelli di percorsi Vincoli su
ISBN:9788847008465
Series:e-books
Series:SpringerLink (Online service)
Series:UNITEXT, 2038-5714
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer software , Engineering economy , Business planning
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Call number:SPRINGER-2009-9783642044663:ONLINE Show nearby items on shelf
Title:Computational Fluid Dynamics for Sport Simulation [electronic resource]
Author(s): Martin Peters
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:All over the world sport plays a prominent role in society: as a leisure activity for many, as an ingredient of culture, as a business and as a matter of national prestige in such major events as the World Cup in soccer or theOlympic Games. Hence, it is not surprising that science has entered the realm of sports, and, in particular, that computer simulation has become highly relevant in recent years. This is explored in this book by choosing five differentsports as examples, demonstrating that comput ational science and engineering (CSE) can make essential contributions to research on sports topics on both the fundamental level and, eventually, by supporting athletes performance
Note:Springer eBooks
Contents:Numerical Models and Simulations in Sailing Yacht Design
Swimming Simulation: A New Tool for Swimming Research and Practical Applications
On CFD Simulation of Ski Jumping
Soccer Ball Aerodynamics
Aerodynamics of an Australian Rules Foot Ball and Rugby Ball
ISBN:9783642044663
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Computational Science and Engineering, 1439-7358 : v72
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science
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Call number:SPRINGER-2009-9783540893325:ONLINE Show nearby items on shelf
Title:Basics of Applied Stochastic Processes [electronic resource]
Author(s): Richard Serfozo
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Stochastic processes are mathematical models of random phenomena that evolve according to prescribed dynamics. Processes commonly used in applications are Markov chains in discrete and continuous time, renewal and regenerativeprocesses, Poisson proce sses, and Brownian motion. This volume gives an in-depth description of the structure and basic properties of these stochastic processes. A main focus is on equilibrium distributions, strong laws of largenumbers, and ordinary and functional central limit theorems for cost and performance parameters. Although these results differ for various processes, they have a common trait of being limit theorems for processes with regenerativeincrements. Extensive examples and exercises show how to formulate stochasti c models of systems as functions of a systems data and dynamics, and how to represent and analyze cost and performance measures. Topics include stochasticnetworks, spatial and space-time Poisson processes, queueing, reversible processes, simulation, Brown ian approximations, and varied Markovian models. The technical level of the volume is between that of introductory texts that focus onhighlights of applied stochastic processes, and advanced texts that focus on theoretical aspects of processes. Intended r eaders are researchers and graduate students in mathematics, statistics, operations research, computer science,engineering, and business
Note:Springer eBooks
Contents:1. Markov Chains
2. Renewal and Regenerative Processes
3. Poisson Processes
4. Continuous
Time Markov Chains
5. Brownian Motion
6. Appendix
References
Notation
Index
ISBN:9783540893325
Series:e-books
Series:SpringerLink (Online service)
Series:Probability and Its Applications, 1431-7028
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory)
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Call number:SPRINGER-2009-9783540882336:ONLINE Show nearby items on shelf
Title:Non-Life Insurance Mathematics [electronic resource] : An Introduction with the Poisson Process
Author(s): Thomas Mikosch
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The volume offers a mathematical introduction to non-life insurance and, at the same time, to a multitude of applied stochastic processes. It includes detailed discussions of the fundamental models regarding claim sizes, claimarrivals, the total clai m amount, and their probabilistic properties. Throughout the volume the language of stochastic processes is used for describing the dynamics of an insurance portfolio in claim size, space and time. Specialemphasis is given to the phenomena which are cause d by large claims in these models. The reader learns how the underlying probabilistic structures allow determining premiums in a portfolio or in an individual policy. The second editioncontains various new chapters that illustrate the use of point process techniques in non-life insurance mathematics. Poisson processes play a central role. Detailed discussions show how Poisson processes can be used to describe complexaspects in an insurance business such as delays in reporting, the settlement of claims and claims reserving. Also the chain ladder method is explained in detail. More than 150 figures and tables illustrate and visualize the theory.Every section ends with numerous exercises. An extensive bibliography, annotated with various comments sections wi th references to more advanced relevant literature, makes the volume broadly and easily accessible
Note:Springer eBooks
ISBN:9783540882336
Series:e-books
Series:SpringerLink (Online service)
Series:Universitext
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance
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Call number:SPRINGER-2009-9781848009387:ONLINE Show nearby items on shelf
Title:Game Theoretic Problems in Network Economics and Mechanism Design Solutions [electronic resource]
Author(s): Hastagiri Prakash
Ramasuri Narayanam
Dinesh Garg
Y Narahari
Date:2009
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With the advent of the Internet and other modern information and communication technologies, a magnificent opportunity has opened up for introducing new, innovative models of commerce, markets, and business. Creating theseinnovations calls for signif icant interdisciplinary interaction among researchers in computer science, communication networks, operations research, economics, mathematics, sociology, and management science. In the emerging era of newproblems and challenges, one particular tool that has found widespread applications is mechanism design. The focus of this book is to explore game theoretic modeling and mechanism design for problem solving in Internet and networkeconomics. It provides a sound foundation of relevant concepts and theory, to help apply mechanism design to problem solving in a rigorous way
Note:Springer eBooks
Contents:From the contents Motivating Problems in Network Economics
Foundations of Mechanisms Design
Strategic Form Games
Dominant Strategy Equilibria
Pure Strategy Nash Equilibrium
Bayesian Games
Social Choice Functions
Incentive Compatibility and the Revelation Theorem
Properties of Social Choice Functions
Bayesian Implementation
Revenue Equivalence Theorem
Mechanism Design for Sponsored Search Auctions
Internet Advertising
Sponsored Search Auction
Individual Rationality
Computational Complexity
Mechanism Design for Resource Procurement in Grid Computin
ISBN:9781848009387
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Information and Knowledge Processing
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computer science , Artificial intelligence , Social sciences Data processing
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Call number:SPRINGER-2009-9781441909107:ONLINE Show nearby items on shelf
Title:Planning and Scheduling in Manufacturing and Services [electronic resource]
Author(s): Michael L Pinedo
Date:2009
Edition:2
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This second edition book focuses on planning and scheduling applications with a new chapter on planning and scheduling in health care. Planning and scheduling are forms of decision-making that play an important role in mostmanufacturing and services industries. The planning and scheduling functions in a company typically use analytical techniques and heuristic methods to allocate its limited resources to the activities that have to be done. Theapplication areas considered in this book are divided int o manufacturing applications and services applications. The book covers four areas in planning and scheduling: preliminary scheduling, planning and scheduling in manufacturing,planning and scheduling in services and systems development and implementation. It covers four areas in services: reservations and timetabling, tournament scheduling, planning and scheduling in transportation, planning and sheduling inhealthcare and workforce scheduling. At the end of each chapter, a case study or a system implementa tion is described in detail. Numerous examples and exercises throughout the book illustrate the material presented. The fundamentalsconcerning the methodologies used in the application chapters are covered in the appendices. This book is suitable for more advanced students in industrial engineering and operations research as well as graduate students in business.Michael Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University. His research interests lie in the theoretical and applied aspects of planning and scheduling. He haswritten numerous papers on the theory of deterministic and stochastic scheduling and has also consulted extensively in industry. He has been actively involved in the de velopment of several large industrial planning and schedulingsystems. The book may be very useful as an application guideline for practicioners from the manufacturing and services sectors, while it has
Note:Springer eBooks
Contents:Introduction
Manufacturing Models
Service Models
Project Planning and Scheduling
Machine Scheduling and Job Shop Scheduling
Scheduling of Flexible Assembly Systems
Economic Lot Scheduling
Planning and Scheduling in Supply Chains
Interval Scheduling, Reservations, and Timetabling
Planning and Scheduling in Sports and Entertainment
Planning, Scheduling, and Timetabling in Transportation
Planning and Scheduling in Healthcare
Workforce Scheduling
Systems Design and Implementation
Advanced Concepts in Systems Design
What Lies Ahead?
Mathematical Program
ISBN:9781441909107
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Operations research , Economics , Business planning , Business logistics
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Call number:SPRINGER-2009-9780387894942:ONLINE Show nearby items on shelf
Title:Analysis and Design of Discrete Part Production Lines [electronic resource]
Author(s): Diomidis Spinellis
Michael J Vidalis
Michael E. J O'Kelly
Chrissoleon T Papadopoulos
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Analysis and Design of Discrete Part Production Lines provides a complete overview of production systems, investigating several production line problems, and describing the best approaches to the analysis of production lineperformance. Written by exp erts in the field of production and manufacturing research, this book also presents numerous techniques that can be used to describe and model various types of production lines. Special Features: * Includesaccess to a supplementary web-based software pack age, providing algorithms and examples, developed by distinguished experts of the field. * Describes new results for evaluative techniques and design algorithms as well as several openproblems in production line optimization. * Presents in detail the theo ry and techniques that underlie production system management, design, and analysis, allowing the book to serve as an excellent introduction to newcomers in thefield. * Has potential for use in a graduate level course in industrial or manufacturing enginee ring, or in a business course with a manufacturing focus. * Contains appendices providing an overview of several mathematical techniquesemployed to design and evaluate production line models. This book is intended for researchers, production managers, and graduate students in industrial, mechanical, and systems engineering. Using the resources presented, consultants,engineers, and researchers will be able to design, evaluate, determine the behavior, and optimize the performance of both new and existing pr oduction lines
Note:Springer eBooks
Contents:Manufacturing Systems: Types and Modeling
Evaluative Models of Discrete Part Production Lines
The Design of Production Lines
Work
Load and Server Allocation Problems
The Buffer Allocation Problem
Double and Triple Optimization
Cost Considerations
ISBN:9780387894942
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v31
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Engineering design , Industrial engineering
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Call number:SPRINGER-2009-9780387886176:ONLINE Show nearby items on shelf
Title:Optimization and Logistics Challenges in the Enterprise [electronic resource]
Author(s): Wanpracha Chaovalitwongse
Kevin C Furman
Panos M Pardalos
Date:2009
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Optimization and Logistics Challenges in the Enterprise begins to answer the question of how to bridge the gap from mathematical modeling and optimization techniques, to practical solutions of enterprise operations.Mathematically distinct from classi cal supply chain management, this burgeoning research area has proven to be useful and applicable to a wide variety of industries for example, pharmaceutical, chemical, transportation, and shipping,to name a few. This book consists of high quality researc h results and may serve as a one-stop shop to learn about several industrial problems and logistics challenges, and solution techniques using recent advances in computationaloptimization. This work is intended for practitioners from industry who use techn iques from a wide range of fields: mathematical programming, supply chain and logistics management, and process systems and operations engineering. Itwill also be of value to advanced graduate and PhD students and researchers in operations research, syste ms engineering, and management science
Note:Springer eBooks
Contents:I Process Industry
Challenges in Enterprise Wide Optimization for the Process Industries
Multi
Product Inventory Logistics Modeling in the Process Industries
Modeling and Managing Uncertainty in Process Planning and Scheduling
A Relative Robust Optimization Approach for Full Factorial Scenario Design of Data Uncertainty and Ambiguity
II Supply Chain and Logistics Design
An Enterprise Risk Management Model for Supply Chains
Notes On Using Optimization And DSS Techniques to Support Supply Chain And Logistics Operations
On the Quadratic Programming Approach for Hub Locatio
ISBN:9780387886176
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v30
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science Mathematics , Mathematical optimization , Industrial engineering , Economics , Business logistics
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Call number:SPRINGER-2009-9780387744032:ONLINE Show nearby items on shelf
Title:Business Statistics for Competitive Advantage with Excel 2007 [electronic resource] : Basics, Model Building, and Cases
Author(s): Cynthia Fraser
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This text helps business students develop competitive advantages for use in their future careers as decision makers. Students learn to build models using logic and experience, produce statistics using Excel 2007 with shortcuts,and translate results i nto implications for decision makers. The author emphasizes communicating results effectively in plain English and with compelling graphics in the form of memos and PowerPoints. Statistics, from basics tosophisticated models, are illustrated with examples using real data such as students will encounter in their roles as managers. A number of examples focus on business in emerging global markets with particular emphasis on China andIndia. Results are linked to implications for decision making with sensitiv ity analyses to illustrate how alternate scenarios can be compared. Chapters include screenshots to make it easy to conduct analyses in Excel 2007 withtime-saving shortcuts expected in the business world. PivotTables and PivotCharts, used frequently in bu sinesses, are introduced from the start. Monte Carlo simulation is introduced early, as a tool to illustrate the range of possibleoutcomes from decision makers assumptions and underlying uncertainties. Model building with regression is presented as a proc ess, adding levels of sophistication, with chapters on multicollinearity and remedies, forecasting andmodel validation, autocorrelation and remedies, indicator variables to represent segment differences, and seasonality, structural shifts or shocks in tim e series models. Special applications in market segmentation and portfolioanalysis are offered, and an introduction to conjoint analysis is included. Nonlinear models are motivated with arguments of diminishing or increasing marginal response, and a chapt er on logit regression models introduces models ofmarket share or proportions. Cynthia Fraser received her Ph.D. from The Wharton School, University of Pennsylvania, and is a member of the Marketing
Note:Springer eBooks
ISBN:9780387744032
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematics , Finance , Economics Statistics , Econometrics , Marketing
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Call number:SPRINGER-2009-9780387096247:ONLINE Show nearby items on shelf
Title:Reactive Search and Intelligent Optimization [electronic resource]
Author(s): Roberto Battiti
Mauro Brunato
Franco Mascia
Date:2009
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive search self-tunes and adapts,effectively learning by d oing until a solution is found. Intelligent Optimization, a superset of Reactive Search, concerns online and off-line schemes based on the use of memory, adaptation, incremental development of models,experimental algorithms applied to optimization, intell igent tuning and design of heuristics. Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt todevelop some fresh intuition for the approaches. The book looks at differen t optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems,problems are introduced wherever they help make the discussion more concrete, or when a specific proble m has been widely studied by reactive search and intelligent optimization heuristics. Individual chapters cover reacting on theneighborhood reacting on the annealing schedule reactive prohibitions model-based search reacting on the objective function rela tionships between reactive search and reinforcement learning and much more. Each chapter isstructured to show basic issues and algorithms the parameters critical for the success of the different methods discussed and opportunities and schemes for the auto mated tuning of these parameters. Anyone working in decision makingin business, engineering, economics or science will find a wealth of information here
Note:Springer eBooks
Contents:Introduction: Machine Learning for Intelligent Optimization
Reacting on the neighborhood
Reacting on the Annealing Schedule
Reactive Prohibitions
Reacting on the Objective Function
Reacting on the Objective Function
Supervised Learning
Reinforcement Learning
Algorithm Portfolios and Restart Strategies
Racing
Teams of Interacting Solvers
Metrics, Landscapes and Features
Open Problems
ISBN:9780387096247
Series:e-books
Series:SpringerLink (Online service)
Series:Operations Research/Computer Science Interfaces Series, 1387-666X : v45
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Electronic data processing , Artificial intelligence , Operations research , Engineering mathematics , Industrial engineering
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Call number:SPRINGER-2008-9780817646264:ONLINE Show nearby items on shelf
Title:Advances in Mathematical and Statistical Modeling [electronic resource]
Author(s): Roberto Minguez
Jose-Maria Sarabia
N Balakrishnan
Barry C Arnold
Date:2008
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory,Bayesian networks, neur al networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized tohonor Castillo's significant contributions, thi s volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety,reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications *Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Th eory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensivereference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics commun ities. Practitioners, researchers, and graduate students in mathematical and statistical modeling,optimization, and computing will benefit from this work
Note:Springer eBooks
Contents:Distribution Theory and Applications
Enrique Castillos Contributions to Conditional Specification
The Polygonal Distribution
Conditionally Specified Models: New Developments and Applications
Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data
Distance Based Association and Multi
Sample Tests for General Multivariate Data
Probability and Statistics
Empirical Bayes Assessment of the Hyperparameters in Bayesian
Order Statistics and Analysis
Negative Mixtures Order Statistics and Systems
Models of Ordered Data and Products of Beta Random Vari
ISBN:9780817646264
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical optimization , Mathematical statistics , Economics Statistics
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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Call number:SPRINGER-2008-9780387774152:ONLINE Show nearby items on shelf
Title:Chance Rules [electronic resource] : an informal guide to probability, risk and statistics
Author(s): Brian Everitt
Date:2008
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education,travel, health, and marr iage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number ofdifferent circumstances. Such understanding becomes s impler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts thestory of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantumtheory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babiesremain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probab ilistic explanation of why things were better when you were younger, consideration of whether you can useprobability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how ev olution scores over creationism. Chance Rules lets you learn about probabilitywithout complex mathematics. Brian Everitt is Professor Emeritus at King's College, London. He is the author of over 50 books on statistics
Note:Springer eBooks
Contents:A Brief History of Chance
What Are the Chances? Assigning Probabilities
Choice and Chance Permutations and Combinations
Tossing Coins and Having Babies
Rolling Dice
Gambling for Fun: Lotteries and Football Pools
Serious Gambling: Roulette, Cards and Horse Racing
Balls, Birthdays and Coincidences
Conditional Probability and the Reverend Thomas Bayes
Puzzling Probabilities
Taking Risks
Statistics, Statisticians and Medicine
Alternative TherapiesPanaceas or Placebos?
What Does the Future Hold?
Chance, Chaos and Chromosomes
ISBN:9780387774152
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory)
Availability:Click here to see Library holdings or inquire at Circ Desk (x3401)
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