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SPIRES-BOOKS: FIND KEYWORD ECONOMICS METHODOLOGY *END*INIT* use /tmp/qspiwww.webspi1/23161.117 QRY 131.225.70.96 . find keyword economics methodology ( in books using www Cover
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Call number:9783319424248:ONLINE Show nearby items on shelf
Title:Non-Equilibrium Social Science and Policy Introduction and Essays on New and Changing Paradigms in Socio-Economic Thinking
Author(s):
Date:2017
Size:1 online resource (VIII, 232 p p.)
Contents:Non-Equilibrium Social Science & Policy -- Economics -- Social Psychology and Narrative Economy -- Sociology and Non-Equilibrium Social Science -- Geography far from Equilibrium -- Cities in Disequilibrium -- The Evolutionary Theory
of Globalization -- Systems, Networks, and Policy -- Towards a Complexity-Friendly Policy: breaking the vicious circle of equilibrium thinking in economic and public policy -- The Information Economy -- Complexity Science & the Art of
Policy Making -- The Complexity of Government -- The Room Around the Elephant: Tackling Context-Dependency in the Social Sciences -- Global Systems Science and Policy -- Index.
ISBN:9783319424248
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Operations research , Decision making , Complexity, Computational , Economic theory , Social sciences , Physics , Data-driven Science, Modeling and Theory Building , Methodology of the Social Sciences , Economic Theory/Quantitative Economics/Mathematical Methods , Operation Research/Decision Theory , Complexity
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Call number:SPRINGER-2014-9784431549741:ONLINE Show nearby items on shelf
Title:Applied Data-Centric Social Sciences [electronic resource] : Concepts, Data, Computation, and Theory
Author(s): Aki-Hiro Sato
Date:2014
Publisher:Tokyo : Springer Japan : Imprint: Springer
Size:1 online resource
Note:Applied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data onhuman activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book isconstructed from data-oriented investigation, wit h mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physicalconcepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that maychange peoples minds and cause them to start thinking from the basis of data. Several goals underli e the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end theauthor delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and da ta-generating mechanisms, as data are always provided by some kind of data-generating process in the real world.The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems
Contents:Introduction
Introduction
Framework
Methodology
Mathematical expressions
Data in computers
Exemplar studies
Risk assessment of extreme events
Segmentation study of foreign exchange market
Hotel booking data
Tendency of international air travels
Energy consumption
Future work
Future research in applied data
centric social sciences
ISBN:9784431549741
Series:eBooks
Series:SpringerLink
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics
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Call number:SPRINGER-2014-9783319042503:ONLINE Show nearby items on shelf
Title:A Kaizen Approach to Food Safety [electronic resource] : Quality Management in the Value Chain from Wheat to Bread
Author(s): Victoria Hill
Date:2014
Publisher:Cham : Springer International Publishing : Imprint: Springer
Size:1 online resource
Note:This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chaintransformation into b read. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the resultof management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to makethe HACCPs (Hazard Analysis and Critical Control Points) in f ood safety systems more robust
Contents:The Bread VC: Its Health Impact and Structure in France and the U.S
Government Regulation of Food Quality: International and in France and the U.S
Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S
Discussion of Literature Review and Preliminary Data Analysis
Modelling the Value Stream for Bread, Flour and Wheat Production
QFD Models of French and U.S. Wheat Management Practices
HACCP and VSM Models of French and U.S. Wheat Production Processes
Findings, Recommendations and Conclusion
ISBN:9783319042503
Series:eBooks
Series:SpringerLink
Series:Contributions to Management Science, 1431-1941
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Food science , Mathematical optimization , System safety , Operations research
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Call number:SPRINGER-2013-9783642355882:ONLINE Show nearby items on shelf
Title:Advances in Theoretical and Applied Statistics [electronic resource]
Author(s): Nicola Torelli
Fortunato Pesarin
Avner Bar-Hen
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume includes contributions selected after a double blind review process and presented as a preliminary version at the 45th Meeting of the Italian Statistical Society. The papers provide significant and innovative originalcontributions and cov er a broad range of topics including: statistical theory methods for time series and spatial data statistical modeling and data analysis survey methodology and official statistics analysis of social,demographic and health data and economic statistics and econometrics
Note:Springer eBooks
Contents:Part I Statistical Theory: Default Priors Based on Pseudo
likelihoods for the Poisson
GPD Model (Stefano Cabras)
Robustness, Dispersion and Local Functions in Data Depth (Mario Romanazzi and Claudio Agostinelli)
New Distribution
free Plotting Position Through an Approximation to the Beta Median (Pasquale Erto and Antonio Lepore)
On Gaussian Compound Poisson Type Limiting Likelihood Ratio Process (Sergue Dachian and Ilia Negri)
Archetypal Symbolic Objects (M.R. DEsposito, F. Palumbo, G. Ragozini)
Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo
ISBN:9783642355882
Series:e-books
Series:SpringerLink (Online service)
Series:Studies in Theoretical and Applied Statistics
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2013-9783642329142:ONLINE Show nearby items on shelf
Title:Applied Panel Data Analysis for Economic and Social Surveys [electronic resource]
Author(s): Hans-Jrgen Andre
Katrin Golsch
Alexander W Schmidt
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, andmodel these kinds of dat a. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and randomeffects models, models for change scores and even t history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader throughdata provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right modelin applied research. The textbook is directed at master and doctoral students as wellas applied researchers in the social sciences, psychology, business administration and economics . Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation
Note:Springer eBooks
Contents:Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
Acknowledgements
Managing panel data: The nature of panel data
The basics of panel data management
Three case studies on poverty in Germany
How to represent a population with panel data?
Conclusion and further reading
Describing and modeling panel data: Some basic terminology
Measurements over time are not independent
Describing the dependent variable
Explaining the dependent variable over time: typical explanatory variables
Modeling panel data
Est
ISBN:9783642329142
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2013-9783642213083:ONLINE Show nearby items on shelf
Title:Survey Data Collection and Integration [electronic resource]
Author(s): Cristina Davino
Luigi Fabbris
Date:2013
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Statistical surveys represent an important source of scientific knowledge and a valid decision support tool in many fields, from social studies to economics, market research, health studies, and others. Scientists have tackledmost of the methodologic al issues concerning surveys and the scientific literature offers excellent proposals for planning and conducting surveys. Nevertheless, surveys often require the achievement of aims that either deviate from themethodology or do not have a specific soluti on at all. This book focuses on survey theory and applications, providing insight and innovative solutions to face problems in data collection and integration, complex sample design, opinionquestionnaire design, and statistical estimation. Formal rigour a nd simple language, together with real-life examples, will make the book suitable to both practitioners involved in applied research and to academics interested inscientific developments in the survey field
Note:Springer eBooks
Contents:Part 1: Introduction to Statistical Surveys: Critical Points, Challenges and Need for Development (Luigi Biggeri)
Part 2: Questionnaire Design: Measurement Scales for Scoring or Ranking Sets of Interrelated Items (Luigi Fabbris)
Assessing MultiItem Scales for Subjective Measurement (Cristina Davino and Rosaria Romano)
Statistical Tools in the Joint Analysis of Closed and OpenEnded Questions (Simona Balbi and Nicole Triunfo)
The Use of SelfAnchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation (Immacolata Di Napoli and Cate
ISBN:9783642213083
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Social sciences Methodology
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Call number:SPRINGER-2013-9781461485117:ONLINE Show nearby items on shelf
Title:Finance with Monte Carlo [electronic resource]
Author(s): Ronald W Shonkwiler
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 text introduces upper division undergraduate/beginning graduate students in mathematics, finance, or economics, to the core topics of a beginning course in finance/financial engineering. Particular emphasis is placed onexploiting the power of th e Monte Carlo method to illustrate and explore financial principles. Monte Carlo is the uniquely appropriate tool for modeling the random factors that drive financial markets and simulating their implications.The Monte Carlo method is introduced early and it is used in conjunction with the geometric Brownian motion model (GBM) to illustrate and analyze the topics covered in the remainder of the text. Placing focus on Monte Carlo methodsallows for students to travel a short road from theory to practical ap plications. Coverage includes investment science, mean-variance portfolio theory, option pricing principles, exotic options, option trading strategies, jumpdiffusion and exponential Lvy alternative models, and the Kelly criterion for maximizing investment growth. Novel features: inclusion of both portfolio theory and contingent claim analysis in a single text pricing methodology forexotic options expectation analysis of option trading strategies pricing models that transcend the BlackScholes framework opt imizing investment allocations concepts thoroughly explored through numerous simulation exercises numerousworked examples and illustrations The mathematical background required is a year and one-half course in calculus, matrix algebra covering solutions o f linear systems, and a knowledge of probability including expectation, densities andthe normal distribution. A refresher for these topics is presented in the Appendices. The programming background needed is how to code branching, loops and subroutines in some mathematical or general purpose language. The mathematicalbackground required is a year and one-half course in calculus, matrix algebra covering solutions of linear systems, and a knowledge o
Note:Springer eBooks
Contents:1. Geometric Brownian Motion and the Efficient Market Hypothesis
2. Return and Risk
3. Forward and Option Contracts and their Pricing
4. Pricing Exotic Options
5. Option Trading Strategies
6. Alternative to GBM Prices
7. Kelly's Criterion
Appendices
A. Some Mathematical Background Topics
B. Stochastic Calculus
C. Convergence of the Binomial Method
D. Variance Reduction Techniques
E. Shell Sort
F. Next Day Prices Program
References
List of Notation
List of Algorithms
Index
ISBN:9781461485117
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Undergraduate Texts in Mathematics and Technology, 1867-5506
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Numerical analysis , Distribution (Probability theory)
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Call number:SPRINGER-2013-9781461472421:ONLINE Show nearby items on shelf
Title:Complex Systems and Society [electronic resource] : Modeling and Simulation
Author(s): Nicola Bellomo
Giulia Ajmone Marsan
Andrea Tosin
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This work aims to foster the interdisciplinary dialogue between mathematicians and socio-economic scientists. Interaction among scholars and practitioners traditionally coming from different research areas is necessary more thanever in order to bette r understand many real-world problems we face today. On the one hand, mathematicians need economists and social scientists to better address the methodologies they design in a more realistic way on the otherhand, economists and social scientists need to be aware of sound mathematical modelling tools in order to understand and, ultimately, solve the complex problems they encounter in their research. With this goal in mind, this work isdesigned to take into account a multidisciplinary approach that will e ncourage the transfer of knowledge, ideas, and methodology from one discipline to the other. In particular, the work has three main themes: Demystifying andunravelling complex systems Introducing models of individual behaviours in the social and economic sciences Modelling socio-economic sciences as complex living systems. Specific tools examined in the work include a recentlydeveloped modelling approach using stochastic game theory within the framework of statistical mechanics and progressing up to mod eling Darwinian evolution. Special attention is also devoted to social network theory as a fundamentalinstrument for the understanding of socio-economic systems
Note:Springer eBooks
Contents:1. The Role of Individual Behaviors in Socio
Economic Sciences
2. Mathematical Tools for Modeling Social Complex Systems
3. Modeling Cooperation and Competition in Socio
Economic Systems
4. Welfare Policy: Applications and Simulations
5. Forward Look at Research Perspectives
References
ISBN:9781461472421
Series:e-books
Series:SpringerLink (Online service)
Series:SpringerBriefs in Mathematics, 2191-8198
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Economics, Mathematical , Social sciences
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Call number:SPRINGER-2013-9781461447207:ONLINE Show nearby items on shelf
Title:The Gini Methodology [electronic resource] A Primer on a Statistical Methodology
Author(s): Shlomo Yitzhaki
Edna Schechtman
Date:2013
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) havebeen in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world ofnormality. This makes the GMD of critical impo rtance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variancewith the GMD and its variants. In this way, the text showcases how alm ost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizingGini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematicmethod and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model. With these benefits in mind the text uses the covariance-based approach, thoughapplications to other approaches are mentioned as well
Note:Springer eBooks
Contents:Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
Decompositions of the GMD
The Lorenz curve and the concentration curve
The extended Gini family of measures
Gini Simple Regressions
Multiple Regressions
Inference on Gini
based parameters
estimation
Inference on Gini
based parameters
testing
Inference on Lorenz and on Concentration curves
Introduction to applications
Social welfare, relative deprivation and the Gini coefficient
Policy Analysis
Polic
ISBN:9781461447207
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v272
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics , Econometrics , Finance
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Call number:SPRINGER-2012-9789491216473:ONLINE Show nearby items on shelf
Title:Stochastic Differential Games. Theory and Applications [electronic resource]
Author(s): Kandethody M Ramachandran
Chris P Tsokos
Date:2012
Publisher:Paris : Atlantis Press
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Conflicts in the form of wars, or competition among countries and industrial institutions are plenty in human history. The introduction of game theory in the middle of the twentieth century shed insights and enabled researchers toanalyze this subject with mathematical rigor. From the ground-breaking work of VonNeumann and Morgenston, modern game theory evolved enormously. In the last few decades, Dynamic game theory framework has been deepened and generalizedfrom the pioneering work on differential g ames by R. Isaacs, L.S. Pontryagin and his school, and on stochastic games by Shapley. This book will expose the reader to some of the fundamental methodology in non-cooperative game theory,and highlight some numerical methods, along with some relevant ap plications. Since the early development days, differential game theory has had a significant impact in such diverse disciplines as applied mathematics, economics, systemstheory, engineering, operations, research, biology, ecology, environmental sciences, among others. Modern game theory now relies on wide ranging mathematical and computational methods, and relevant applications that are rich andchallenging. Game theory has been widely recognized as an important tool in many fields. Importance of game theo ry to economics is illustrated by the fact that numerous game theorists, such as John Forbes Nash, Jr., Robert J. Aumannand Thomas C. Schelling, have won the Nobel Memorial Prize in Economics Sciences. Simply put, game-theory has the potential to reshape the analysis of human interaction
Note:Springer eBooks
Contents:Introduction, Survey and Background Material
Stochastic Linear Pursuit
Evasion Game
Two Person Zero
Sum Differential Games
General Case
Formal Solutions for Some Classes of Stochastic Linear Pursuit
N
Person Noncooperative Differential Games
Weak Convergence in Two Player Stochastic Differential Games
Weak Convergence in Many Player Games
Some Numerical Methods
Applications to Finance
ISBN:9789491216473
Series:e-books
Series:SpringerLink (Online service)
Series:Atlantis Studies in Probability and Statistics, 1879-6893 : v2
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Economics, Mathematical
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Call number:SPRINGER-2012-9783642290008:ONLINE Show nearby items on shelf
Title:Why Society is a Complex Matter [electronic resource] : Meeting Twenty-first Century Challenges with a New Kind of Science
Author(s): Philip Ball
Date:2012
Edition:1
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Society is complicated. But this book argues that this does not place it beyond the reach of a science that can help to explain and perhaps even to predict social behaviour. As a system made up of many interacting agents people, groups, institutions and governments, as well as physical and technological structures such as roads and computer networks society can be regarded as a complex system. In recent years, scientists have made great progress inunderstanding how such complex systems operate, rang ing from animal populations to earthquakes and weather. These systems show behaviours that cannot be predicted or intuited by focusing on the individual components, but which emergespontaneously as a consequence of their interactions: they are said to be self-organized. Attempts to direct or manage such emergent properties generally reveal that top-down approaches, which try to dictate a particularoutcome, are ineffectual, and that what is needed instead is a bottom-up approach that aims to guide self-org anization towards desirable states. This book shows how some of these ideas from the science of complexity can beapplied to the study and management of social phenomena, including traffic flow, economic markets, opinion formation and the growth and struct ure of cities. Building on these successes, the book argues that the complex-systems view ofthe social sciences has now matured sufficiently for it to be possible, desirable and perhaps essential to attempt a grander objective: to integrate these efforts into a unified scheme for studying, understanding and ultimatelypredicting what happens in the world we have made. Such a scheme would require the mobilization and collaboration of many different research communities, and would allow society and its inter actions with the physical environment to beexplored through realistic models and large-scale data collection and analysis. It should enable us to find new and effective solutions
Note:Springer eBooks
Contents:Society: a Complex Problem
On the Road: Predicting traffic
Every Move You Make: Patterns of crowd movement
Making Your Mind Up: Norms and decisions
Broken Windows: The spread and control of crime
The Social Web: Networks and their failures
Spreading It Around: Mobility, disease and epidemics
After the Crash: Economic and financial systems
Love Thy Neighbour: How to foster cooperation
Living Cities: Urban development as a complex system
The Transformation of War: Modelling modern conflict
Towards a Living Earth Simulator: The FuturICT Project
ISBN:9783642290008
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Social sciences Data processing , Engineering , Economics , Social sciences Methodology
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Call number:SPRINGER-2012-9781461436553:ONLINE Show nearby items on shelf
Title:Inference for Functional Data with Applications [electronic resource]
Author(s): Lajos Horvth
Piotr Kokoszka
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:This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis to problems arising in geosciences, finance, economics and biology. It is concerned withinference based on seco nd order statistics, especially those related to the functional principal component analysis. While it covers inference for independent and identically distributed functional data, its distinguishing feature isan in depth coverage of dependent functional data structures, including functional time series and spatially indexed functions. Specific inferential problems studied include two sample inference, change point analysis, tests fordependence in data and model residuals and functional prediction. All pr ocedures are described algorithmically, illustrated on simulated and real data sets, and supported by a complete asymptotic theory. The book can be read at twolevels. Readers interested primarily in methodology will find detailed descriptions of the metho ds and examples of their application. Researchers interested also in mathematical foundations will find carefully developed theory. Theorganization of the chapters makes it easy for the reader to choose an appropriate focus. The book introduces the requis ite, and frequently used, Hilbert space formalism in a systematic manner. This will be useful to graduate oradvanced undergraduate students seeking a self-contained introduction to the subject. Advanced researchers will find novel asymptotic arguments
Note:Springer eBooks
Contents:Independent functional observations
The functional linear model
Dependent functional data
References
Index
ISBN:9781461436553
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397 : v200
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2012-9781461436522:ONLINE Show nearby items on shelf
Title:Six Sigma with R [electronic resource] : Statistical Engineering for Process Improvement
Author(s): Emilio L Cano
Javier M Moguerza
Andrs Redchuk
Date:2012
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Six Sigma has arisen in the last two decades as a breakthrough Quality Management Methodology. With Six Sigma, we are solving problems and improving processes using as a basis one of the most powerful tools of human development:the scientific method. For the analysis of data, Six Sigma requires the use of statistical software, being R an Open Source option that fulfills this requirement. R is a software system that includes a programming language widely usedin academic and research departments. Nowad ays, it is becoming a real alternative within corporate environments. The aim of this book is to show how R can be used as the software tool in the development of Six Sigma projects. Thebook includes a gentle introduction to Six Sigma and a variety of ex amples showing how to use R within real situations. It has been conceived as a self contained piece. Therefore, it is addressed not only to Six Sigma practitioners,but also to professionals trying to initiate themselves in this management methodology. The book may be used as a text book as well
Note:Springer eBooks
Contents:PartI Basics
Six Sigma in a Nutshell
R from the Beginning
Part II R Tools for the Define phase
Process Mapping with R
Loss Function Analysis with R
Part III R Tools for the Measure phase
Measurement System Analysis with R
Pareto Analysis with R
Process Capability Analysis with R
Part IV R Tools for the Analyze phase
Charts with R
Statistics and Probability with R
Statistical Inference with R
Part V R Tools for the Improve phase
Design of Experiments with R
Part VI R Tools for the Control phase
Process Control with R
Part VII Further and B
ISBN:9781461436522
Series:e-books
Series:SpringerLink (Online service)
Series:Use R! : v36
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2011-9783642179372:ONLINE Show nearby items on shelf
Title:Multicriteria Analysis [electronic resource] : Applications to Water and Environment Management
Author(s): Mahdi Zarghami
Ferenc Szidarovszky
Date:2011
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Multicriteria analysis is one of the most important fields of decision science. This book gives an outline of the formulation of an appropriate model and presents a comprehensive summary of the most popular methods for solvingmulticriteria decision p roblems. In addition to the classical approach the book introduces fuzzy and stochastic methodology, models with uncertainty, social choice and conflict resolution. All methods are illustrated with easy tofollow simple examples. At the end of each chapter detailed case studies are given in water and environment management including inter-basin water transfer, urban water management, water allocation, groundwater quality management,forest treatment, ranking water resources projects, reservoir planning, wat er distribution network design and long-term watershed management. The new methodology and the wide variety of case studies are not easily accessibleelsewhere
Note:Springer eBooks
ISBN:9783642179372
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Civil engineering , Environmental pollution , Economics, Mathematical
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Call number:SPRINGER-2010-9781441917645:ONLINE Show nearby items on shelf
Title:Advances in Social Science Research Using R [electronic resource]
Author(s): Hrishikesh D Vinod
Date:2010
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book covers recent advances for quantitative researchers with practical examples from social sciences. The twelve chapters written by distinguished authors cover a wide range of issues--all providing practical tools usingthe free R software. McC ullough: R can be used for reliable statistical computing, whereas most statistical and econometric software cannot. This is illustrated by the effect of abortion on crime. Koenker: Additive models provide aclever compromise between parametric and non-par ametric components illustrated by risk factors for Indian malnutrition. Gelman: R graphics in the context of voter participation in US elections. Vinod: New solutions to the old problemof efficient estimation despite autocorrelation and heteroscedasticity among regression errors are proposed and illustrated by the Phillips curve tradeoff between inflation and unemployment. Markus and Gu: New R tools for exploratorydata analysis including bubble plots. Vinod, Hsu and Tian: New R tools for portfolio selecti on borrowed from computer scientists and data-mining experts relevant to anyone with an investment portfolio. Foster and Kecojevic: Extendsthe usual analysis of covariance (ANCOVA) illustrated by growth charts for Saudi children. Imai, Keele, Tingley, and Yamamoto: New R tools for solving the age-old scientific problem of assessing the direction and strength of causation.Their job search illustration is of interest during current times of high unemployment. Haupt, Schnurbus, and Tschernig: Consider the ch oice of functional form for an unknown, potentially nonlinear relationship, explaining a set of newR tools for model visualization and validation. Rindskopf: R methods to fit a multinomial based multivariate analysis of variance (ANOVA) with examples from psychology, sociology, political science, and medicine. Neath: R tools forBayesian posterior distributions to study increased disease risk in proximity to a hazardous waste site. Numatsi and Rengifo:
Note:Springer eBooks
Contents:Econometric Computing with R
Additive Models for Quantile Regression: An Analysis of Risk Factors for Malnutrition in India
Toward better R defaults for graphics: Example of voter turnouts in US elections
Superior Estimation and Inference Avoiding Heteroscedasticity and Flawed Pivots: R
example of Inflation Unemployment Trade
Off
Bubble Plots as a Model
Free Graphical Tool for Continuous Variables
Combinatorial Fusion for Improving Portfolio Performance
Reference growth charts for Saudi Arabian children and Adolescents
Causal Mediation Analysis Using R
Statistical val
ISBN:9781441917645
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v196
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Finance , Economics Statistics , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2010-9781441912138:ONLINE Show nearby items on shelf
Title:Design of Observational Studies [electronic resource]
Author(s): Paul R Rosenbaum
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:An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatmentson people, including me dicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design ofObservational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided intofour parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaums Observational Studies (also published by Springer) but in a less technical fashion. Part II discussesthe practical aspects of using propensity scores and other tools to create a matched compari son that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used toappraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured cova riates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir RonaldFishers striking advice for observational studies, make your theories elaborate. Paul R. Rosenbaum is the Robert G. Putzel Professor of Stati stics at the Wharton School of the University of Pennsylvania. He is a fellow of theAmerican Statistical Association. In 2003, he received the George W. Snedecor Award from the Committee of Presidents of Statistical Societies. He is a senior fellow of the Leonard Davis Institute of Health Economics and a ResearchAssociate at the Population Studies Center, both at the University of Pennsylvania. The second edition of his book, Observational Studi
Note:Springer eBooks
Contents:Beginnings
Dilemmas and Craftsmanship
Causal Inference in Randomized Experiments
Two Simple Models for Observational Studies
Competing Theories Structure Design
Opportunities, Devices, and Instruments
Transparency
Matching
A Matched Observational Study
Basic Tools of Multivariate Matching
Various Practical Issues in Matching
Fine Balance
Matching Without Groups
Risk
Set Matching
Matching in R
Design Sensitivity
The Power of a Sensitivity Analysis and Its Limit
Heterogeneity and Causality
Uncommon but Dramatic Responses to Treatment
Antic
ISBN:9781441912138
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Statistical methods , Mathematical statistics , Econometrics , Social sciences Methodology , Psychological tests and testing
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Call number:SPRINGER-2009-9783642044540:ONLINE Show nearby items on shelf
Title:Modelling, Pricing, and Hedging Counterparty Credit Exposure [electronic resource] : A Technical Guide
Author(s): Giovanni Cesari
John Aquilina
Niels Charpillon
Zlatko Filipovic
Gordon Lee
Ion Manda
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Building an accurate representation of firm-wide credit exposure, used for both trading and risk management, raises significant theoretical and technical challenges. This volume can be considered as a roadmap to finding practicalsolutions to the prob lem of modelling, pricing, and hedging counterparty credit exposure for large portfolios of both vanilla and exotic derivatives, usually traded by large Investment Banks. It is divided into four parts, (I)Methodology, (II) Architecture and Implementation, (III) Products, and (IV) Hedging and Managing Counterparty Risk. Starting from a generic modelling and valuation framework based on American Monte Carlo techniques, it presents asoftware architecture, which, with its modular design, allows the computatio n of credit exposure in a portfolio-aggregated and scenario-consistent way. An essential part of the design is the definition of a programming language, whichallows trade representation based on dynamic modelling features. Several chapters are then devote d to the analysis of credit exposure across all asset classes, namely foreign exchange, interest rate, credit derivatives and equity.Finally it considers how to mitigate and hedge counterparty exposure. The crucial question of dynamic hedging is addressed by constructing a hybrid product, the Contingent-Credit Default Swap. This volume addresses, from a quantitativeperspective, recent developments related to counterparty credit exposure computation. Its unique characteristic is the combination of a rigoro us but simple mathematical approach with a practical view of the financial problem at hand....a fantastic book that covers all aspects of credit exposure modelling. Nowhere else can the interested reader find such a comprehensive collection of insights ar ound this topic covering methodology, implementation, products andapplications. A must read for practitioners and quants working in this space. Jrg Behrens, Fintegral Consulting, CH In the afterm
Note:Springer eBooks
Contents:Preface
Glossary
Abbreviations and Notation
Part I: Methodology
1.Introduction
2.Modelling Framework
3.Simulation Models
4.Valuation and Sensitivities
Part II: Architecture and Implementation
5.Computational Framework
6.Implementation
7.Architecture
Part III: Products
8.Interest Rate Products
9.Equity, Commodity, Inflation and FX Products
10.Credit Derivatives
11.Hybrids and Structures
Part IV: Hedging and Managing Counterparty Risk
12.Counterparty Risk Aggregation and Risk Mitigation
13.Combining Market and Credit Risk
14.Pricing Cou
ISBN:9783642044540
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Finance
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Finance , Numerical analysis , Distribution (Probability theory) , Economics Statistics
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Call number:SPRINGER-2009-9783540922674:ONLINE Show nearby items on shelf
Title:Innovation Networks [electronic resource] : New Approaches in Modelling and Analyzing
Author(s): Andreas Pyka
Andrea Scharnhorst
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 science of graphs and networks has become by now a well-established tool for modelling and analyzing a variety of systems with a large number of interacting components. Starting from the physical sciences, applications havespread rapidly to the n atural and social sciences, as well as to economics, and are now further extended, in this volume, to the concept of innovations, viewed broadly. In an abstract, systems-theoretical approach, innovation can beunderstood as a critical event which destabili zes the current state of the system, and results in a new process of self-organization leading to a new stable state. The contributions to this anthology address different aspects of therelationship between innovation and networks. The various chapters in corporate approaches in evolutionary economics, agent-based modeling, social network analysis and econophysics and explore the epistemic tension between insights intoeconomics and society-related processes, and the insights into new forms of complex dynam ics
Note:Springer eBooks
Contents:Introduction: Network Perspective on Innovation: Innovative Networks
Network Innovation
Knowledge Networks: Structure and Dynamics
Death of Distance in Science? A Gravity Approach to Research Collaboration
Evolution and Dynamics of Networks in Regional Innovation Systems
Agent
based modelling of Innovation Networks
the Fairytale of Spillovers
Structural Holes, Innovation and the Distribution of Ideas
Social Network Analysis
A Physics Approach
Modelling, Evolving Innovation Networks
Propagation of Innovations in Complex Patterns of Interaction
Modelling Self
organ
ISBN:9783540922674
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Economics , Engineering , Engineering economy , Telecommunication , Social sciences Methodology
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Call number:SPRINGER-2009-9783540687214:ONLINE Show nearby items on shelf
Title:Interpreting Economic and Social Data [electronic resource] : A Foundation of Descriptive Statistics
Author(s): Othmar W Winkler
Date:2009
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Interpreting Economic and Social Data aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models ofsociety on the other. It do es this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The authorchallenges many preconceptions about aggregation, tim e series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. Interpreting Social and Economic Dataalso links statistics with other quantitative fields like accounting and geogr aphy. It is aimed at students and professors in business, economics and social science courses, and in general, at users of socio-economic data, requiringonly an acquaintance with elementary statistical theory
Note:Springer eBooks
Contents:Developments in Socio
Economic Statistics
From the Facts in Society to Socio
Economic Data
Structure and Nature of Socio
Economic Data: The Aggregates
Ratios in the Social Sciences
Interpreting Longitudinal Data, Part 1 Looking to the Past
Longitudinal Analysis, Part 2 Looking to the Future
Longitudinal Analysis, Part 3 Index Numbers
Cross Sectional Analysis in One Dimension
Cross Sectional Analysis in More Than One Dimension
Socio
Economic Statistics and Probability
The Interface between Statistics and Accounting
Socio
Economic Statistics and Geogra
ISBN:9783540687214
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Economics Statistics , Economics Methodology
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Call number:SPRINGER-2009-9780387881461:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Network Data [electronic resource] : Methods and Models
Author(s): Eric D Kolaczyk
Date:2009
Publisher:New York, NY : Springer New York
Size:1 online resource
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Note:Springer 2013 e-book collections
Note:In the past decade, the study of networks has increased dramatically. Researchers from across the sciencesincluding biology and bioinformatics, computer science, economics, engineering, mathematics, physics, sociology, andstatisticsare more and more involved with the collection and statistical analysis of network-indexed data. As a result, statistical methods and models are being developed in this area at a furious pace, with contributions comingfrom a wide spectrum of disciplines. This book provides an up-to-date treatment of the foundations common to the statistical analysis of network data across the disciplines. The material is organized according to a statisticaltaxonomy, although the presentation entails a conscious balance of concepts versus m athematics. In addition, the examplesincluding extended cases studiesare drawn widely from the literature. This book should be of substantialinterest both to statisticians and to anyone else working in the area of network science. The coverage of topics i n this book is broad, but unfolds in a systematic manner, moving from descriptive (or exploratory) methods, tosampling, to modeling and inference. Specific topics include network mapping, characterization of network structure, network sampling, and the mo deling, inference, and prediction of networks, network processes, and network flows. Thisbook is the first such resource to present material on all of these core topics in one place. Eric Kolaczyk is a professor of statistics, and Director of the Program in Statistics, in the Department of Mathematics and Statistics atBoston University, where he also is an affiliated faculty member in the Center for Biodynamics, the Program in Bioinformatics, and the Division of Systems Engineering. His publications on ne twork-based topics include work ranging fromthe detection of anomalous traffic patterns in computer networks to the prediction of biological function in networks of interacting protein
Note:Springer eBooks
Contents:Introduction and overview
Preliminaries
Mapping networks
Descriptive analysis of network graph characteristics
Sampling and estimation in network graphs
Models for network graphs
Network topology inference
Modeling and prediction for processes on network graphs
Analysis of network flow data
Graphical models
ISBN:9780387881461
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Statistics, 0172-7397
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Data mining , Bioinformatics , Mathematical statistics , Engineering , Telecommunication , Social sciences Methodology
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Call number:SPRINGER-2009-9780387859569:ONLINE Show nearby items on shelf
Title:Permutation Tests for Stochastic Ordering and ANOVA [electronic resource] : Theory and Applications with R
Author(s): Aldo Solari
Luigi Salmaso
Fortunato Pesarin
Dario Basso
Date:2009
Edition:1
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Permutation testing for multivariate stochastic ordering and ANOVA designs is a fundamental issue in many scientific fields such as medicine, biology, pharmaceutical studies, engineering, economics, psychology, and socialsciences. This book presents new advanced methods and related R codes to perform complex multivariate analyses. The prerequisites are a standard course in statistics and some background in multivariate analysis and R software. DarioBasso is a Post Doctoral Fellow at the Department of Management and Engineering of University of Padova His main research interests include permutation tests and design of experiments. Fortunato Pesarin is Full Professor of Statisticsat the Department of Statistics of the University of Padova. His main res earch interests include nonparametric methods, bootstrap methods, and permutation tests. He has published a leading book on multivariate permutation tests basedon nonparametric combination methodology. Luigi Salmaso is Associate Professor of Statistics at the Department of Management and Engineering of the University of Padova. His main research interests include permutation methods, multipletests, and design of experiments. He has published more than 70 papers on permutation methods and design of experim ents in international peer-reviewed journals. Aldo Solari is a Post Doctoral Fellow at the Department of ChemicalProcess Engineering of the University of Padova. His main research interest is resampling-based multiple testing methods
Note:Springer eBooks
Contents:I Stochastic Ordering
Ordinal Data
Multivariate Ordinal Data
Multivariate Continuous Data
Permutation Tests
II Nonparametric ANOVA
Nonparametric One
Way ANOVA
Synchronized Permutation Tests in Two
way ANOVA
Permutation Tests for Unreplicated Factorial Designs
ISBN:9780387859569
Series:e-books
Series:SpringerLink (Online service)
Series:Lecture Notes in Statistics, 0930-0325 : v194
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer simulation , Mathematical statistics , System safety
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Call number:SPRINGER-2008-9783540736653:ONLINE Show nearby items on shelf
Title:Complex Decision Making [electronic resource] : Theory and Practice
Author(s): H Qudrat-Ullah
J.M Spector
P.I Davidsen
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The increasingly complex environment of today's world, characterized by technological innovation and global communication, generates myriads of possible and actual interactions while limited physical and intellectual resourcesseverely impinge on deci sion makers, be it in the public or private domains. At the core of the decision-making process is the need for quality information that allows the decision maker to better assess the impact of decisions interms of outcomes, nonlinear feedback processes a nd time delays on the performance of the complex system invoked. This volume is a timely review on the principles underlying complex decision making, the handling of uncertainties indynamic envrionments and of the various modeling approaches used. The boo k consists of five parts, each composed of several chapters: I: Complex Decision Making: Concepts, Theories and Empirical Evidence II: Tools and Techniques forDecision Making in Complex Environments and Systems III: System Dynamics and Agent-Based Modelin g IV: Methodological Issues V: Future Directions
Note:Springer eBooks
Contents:How to Improve Dynamic Decision Making? Theory and Practice
Expertise in Dynamic Tasks
Dynamic Handling of Uncertainty for Decision Making
Using System Dynamics and Multiple Objective Optimization to Support Policy Analysis for Complex Systems
Creation of Hydroelectric System Scheduling by Simulation
Understanding the Complex Decision Making Using Non
Parametric Data Envelopment Analysis
Using Group Model Building to Inform Public Policy Making and Implementation
Agents First! Using Agent
Based Simulation to Identify and Quantify Macro Stuctures
Influencing and Interpre
ISBN:9783540736653
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Economics , Engineering , Technology , Social sciences Methodology
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Call number:SPRINGER-2008-9780387766805:ONLINE Show nearby items on shelf
Title:Country Risk Evaluation [electronic resource]
Author(s): Kyriaki Kosmidou
Michael Doumpos
Constantin Zopounidis
Date:2008
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial globalization has increased the significance of methods used in the evaluation of country risk, one of the major research topics in economics and finance. Written by experts in the fields of multicriteria methodology,credit risk assessment, operations research, and financial management, this book develops a comprehensive framework for evaluating models based on several classification techniques that emerge from different theoretical directions.This book compares different statistical and da ta mining techniques, noting the advantages of each method, and introduces new multicriteria methodologies that are important to country risk modeling. Key topics include: A review ofcountry risk definitions and an overview of the most recent tools in cou ntry risk management In-depth analysis of statistical, econometric and non-parametric classification techniques Several real-world applications of themethodologies described throughout the text Future research directions for country risk assessment proble ms This work is a useful toolkit for economists, financial managers, bank managers, operations researchers, management scientists,and risk analysts. Moreover, the book can also be used as a supplementary text for graduate courses in finance and financial risk management
Note:Springer eBooks
Contents:Preface
Chapter 1. Introduction
Chapter 2. Review of Methodologies
Chapter 3. Applications
Chapter 4. Conclusions
References
Index
ISBN:9780387766805
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v15
Series:Mathematics and Statistics (Springer-11649)
Keywords: Economics , Mathematical optimization , Distribution (Probability theory) , Economics Statistics , Econometrics
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Call number:SPRINGER-2008-9780387369518:ONLINE Show nearby items on shelf
Title:Markov Decision Processes With Their Applications [electronic resource]
Author(s): Qiying Hu
Wuyi Yue
Date:2008
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be used to model and solve dynamic decision-making problems that are multi-period and occur in stochasticcircumstances. There are three basic branches in MDPs: discrete-time MDPs, continuous-time MDPs and semi-Markov decision processes. Starting from these three branches, many generalized MDPs models have been applied to various practicalproblems. These models include partially obse rvable MDPs, adaptive MDPs, MDPs in stochastic environments, and MDPs with multiple objectives, constraints or imprecise parameters. Markov Decision Processes With Their Applicationsexamines MDPs and their applications in the optimal control of discrete e vent systems (DESs), optimal replacement, and optimal allocations in sequential online auctions. The book presents four main topics that are used to study optimalcontrol problems: *a new methodology for MDPs with discounted total reward criterion *transfo rmation of continuous-time MDPs and semi-Markov decision processes into a discrete-time MDPs model, thereby simplifying the application ofMDPs *MDPs in stochastic environments, which greatly extends the area where MDPs can be applied *applications of MDPs in optimal control of discrete event systems, optimal replacement, and optimal allocation in sequential onlineauctions. This book is intended for researchers, mathematicians, advanced graduate students, and engineers who are interested in optimal control , operation research, communications, manufacturing, economics, and electronic commerce
Note:Springer eBooks
Contents:Discretetimemarkovdecisionprocesses: Total Reward
Discretetimemarkovdecisionprocesses: Average Criterion
Continuous Time Markov Decision Processes
Semi
Markov Decision Processes
Markovdecisionprocessesinsemi
Markov Environments
Optimal control of discrete event systems: I
Optimal control of discrete event systems: II
Optimal replacement under stochastic Environments
Optimalal location in sequential online Auctions
ISBN:9780387369518
Series:e-books
Series:SpringerLink (Online service)
Series:Advances in Mechanics and Mathematics : v14
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Operations research , Distribution (Probability theory) , Industrial engineering
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Call number:SPRINGER-2008-9780387328331:ONLINE Show nearby items on shelf
Title:The Concise Encyclopedia of Statistics [electronic resource]
Author(s): Yadolah Dodge
Date:2008
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community usingstatistics in medicine, engine ering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology andbiographies of famous statisticians. The more than 500 e ntries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the keycitations. The back matter includes a timeline of statistical inventions. This refer ence will be an enduring resource for locating convenient overviews about this essential field of study. Founder of the Master in Statistics program in1989 for the University of Neuchtel in Switzerland, Professor Yadolah Dodge earned his Master in Applied Statistics from the Utah State University in 1970 and his Ph.D. in Statistics with minor in Biometry from the Oregon StateUniversity in 1973. He has published numerous articles and authored, co-authored and edited several books including Mathematical Pro gramming in Statistics (John Wiley 1981, Classic Edition 1993), Analysis of Experiments with MissingData (John Wiley 1985), Alternative Methods of Regression (John Wiley 1993), Premier Pas en Statistique (Springer 1999), Adaptive Regression (2000), The Ox ford Dictionary of Statistical Terms (2003), Statistique: Dictionnaireencyclopdique (Springer 2004), and Optimisation applique (Springer 2005). Professor Dodge is an elected member of the International Statistical Institute and a Fellow of the Royal Stati stical Society
Note:Springer eBooks
Contents:A
Acceptance Region
Accuracy
Algorithm
Alternative hypothesis
Analysis of binary data
Analysis of categorical data
Analysis of residuals
Analysis of variance
Anderson Oskar
Anderson Theodore W
Anderson
Darling test
Arithmetic mean
Arithmetic triangle
ARMA models
Arrangement
Attributable risk
Autocorrelation and partial autocorrelation
Avoidable risk
ISBN:9780387328331
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Science (General)
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Call number:SPRINGER-2007-9783764373993:ONLINE Show nearby items on shelf
Title:Statistical Analysis of Extreme Values [electronic resource] : with Applications to Insurance, Finance, Hydrology and Other Fields
Author(s): Rolf-Dieter Reiss
Michael Thomas
Date:2007
Edition:Third Edition
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The statistical analysis of extreme data is important for various disciplines, including hydrology, insurance, finance, engineering and environmental sciences. This book provides a self-contained introduction to the parametricmodeling, exploratory an alysis and statistical interference for extreme values. The entire text of this third edition has been thoroughly updated and rearranged to meet the new requirements. Additional sections and chapters, elaboratedon more than 100 pages, are particularly con cerned with topics like dependencies, the conditional analysis and the multivariate modeling of extreme data. Parts IIII about the basic extreme value methodology remain unchanged to somelarger extent, yet notable are, e.g., the new sections about An Over view of Reduced-Bias Estimation (co-authored by M.I. Gomes), The Spectral Decomposition Methodology, and About Tail Independence (co-authored by M. Frick),and the new chapter about Extreme Value Statistics of Dependent Random Variables (co-authored by H. Drees). Other new topics, e.g., a chapter about Environmental Sciences, (co--authored by R.W. Katz), are collected within PartsIVVI
Note:Springer eBooks
Contents:Preface
I. Modeling and Data Analysis
II. Statistical Interference in Parametric Models
III. Elements of Multivariate Statistical Analysis
IV. Topics in Hydrology, Insurance and Finance
V. Case Studies in Extreme Value Analysis
Index
Bibliography
ISBN:9783764373993
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Distribution (Probability theory) , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2007-9780387698106:ONLINE Show nearby items on shelf
Title:The Statistical Analysis of Recurrent Events [electronic resource]
Author(s): Richard J Cook
Jerald F Lawless
Date:2007
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Recurrent event data arise in diverse fields such as medicine, public health, insurance, social science, economics, manufacturing and reliability. The purpose of this book is to present models and statistical methods for theanalysis of recurrent even t data. No single comprehensive treatment of these areas currently exists. The authors provide broad but detailed coverage of the major approaches to analysis, while also emphasizing the modeling assumptionsthat they are based on. Thus, they consider impo rtant models such as Poisson and renewal processes, with extensions to incorporate covariates or random effects. More general intensity-based models are also considered, as well assimpler models that focus on rate or mean functions. Parametric, nonparamet ric and semiparametric methodologies are all covered, with clear descriptions of procedures for estimation, testing and model checking. Important practicaltopics such as observation schemes and selection of individuals for study, the planning of randomize d experiments, events of several types, and the prediction of future events are considered. Methods of modeling and analysis areillustrated through many examples taken from health research and industry. The objectives and interpretations of different anal yses are discussed in detail, and issues of robustness are addressed. Statistical analysis of the examplesis carried out with S-PLUS software and code is given for some examples. This book is directed at graduate students, researchers, and applied statist icians working in industry, government or academia. Some familiarity with survivalanalysis is beneficial since survival software is used to carry out many of the analyses considered. This book can be used as a textbook for a graduate course on the analysi s of recurrent events or as a reference for a more generalcourse on event history analysis. Problems are given at the end of chapters to reinforce the material presented and to provide additional backgr
Note:Springer eBooks
Contents:Models and Frameworks for Analysis of Recurrent Events
Methods Based on Counts and Rate Functions
Analysis of Gap Times
General Intensity
Based Models
Multitype Recurrent Events
Observation Schemes Giving Incomplete or Selective Data
OtherTopics
ISBN:9780387698106
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Biology and Health, 1431-8776
Series:Mathematics and Statistics (Springer-11649)
Keywords: Medicine , Epidemiology , Mathematical statistics , System safety , Econometrics , Social sciences Methodology
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Call number:SPRINGER-2006-9783790816877:ONLINE Show nearby items on shelf
Title:Frontiers in Statistical Quality Control 8 [electronic resource]
Author(s): Hans-Joachim Lenz
Peter-Theodor Wilrich
Date:2006
Publisher:Heidelberg : Physica-Verlag HD
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This volume treats the three main categories of Statistical Quality Control: General Aspects of SQC Methodology, On-line Control including Sampling Plans, Control Charts and Monitoring, and Off-line Control including DataAnalysis, Calibration and Exp erimental Design. Experts with international reputation present their newest contributions
Note:Springer eBooks
Contents:Part I: General Aspects of SQC Methodology
Part 2: On
line Control
Part III: Off
line Control
ISBN:9783790816877
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics , Economics Statistics , Industrial engineering
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Call number:SPRINGER-2006-9783540317203:ONLINE Show nearby items on shelf
Title:Data Analysis Using the Method of Least Squares [electronic resource] : Extracting the Most Information from Experiments
Author(s): John Wolberg
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves.The purpose of Data A nalysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest. Inaddition, graduate students in science and eng ineering doing work of experimental nature can benefit from this book. Particularly, both linear and non-linear least squares, the use of experimental error estimates for data weighting,procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed
Note:Springer eBooks
Contents:The Method of Least Squares
Model Evaluation
Candidate Predictors
Designing Quantitative Experiments
Software
Kernel Regression
ISBN:9783540317203
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Weights and measures , Economics Statistics
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Call number:SPRINGER-2005-9781402022364:ONLINE Show nearby items on shelf
Title:Geometric Data Analysis [electronic resource] : From Correspondence Analysis to Structured Data Analysis
Author(s): Brigitte Roux
Henry Rouanet
Date:2005
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Geometric Data Analysis (GDA) is the name suggested by P. Suppes (Stanford University) to designate the approach to Multivariate Statistics initiated by Benzcri as Correspondence Analysis, an approach that has become more andmore used and appreciated over the years. This book presents the full formalization of GDA in terms of linear algebra - the most original and far-reaching consequential feature of the approach - and shows also how to integrate thestandard statistical tools such as Analysis of Var iance, including Bayesian methods. Chapter 9, Research Case Studies, is nearly a book in itself it presents the methodology in action on three extensive applications, one for medicine,one from political science, and one from education (data borrowed from the Stanford computer-based Educational Program for Gifted Youth ). Thus the readership of the book concerns both mathematicians interested in the applications ofmathematics, and researchers willing to master an exceptionally powerful approach of statisti cal data analysis
Note:Springer eBooks
Contents:Overview of Geometric Data Analysis (Overview)
Correspondence Analysis
Euclidean Cloud
Principal Component Analysis
Multiple Correspondence Analysis (MCA)
Structured Data Analysis
Stability of a Euclidean Cloud
Inductive Data Analysis
Research Case Studies
Mathematical Bases
ISBN:9781402022364
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computational linguistics , Economics , Sociology
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Call number:SPRINGER-2005-9780817644222:ONLINE Show nearby items on shelf
Title:Advances in Ranking and Selection, Multiple Comparisons, and Reliability [electronic resource] : Methodology and Applications
Author(s): N Balakrishnan
H. N Nagaraja
N Kannan
Date:2005
Publisher:Boston, MA : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written inhis honor, the twenty invited articles in this volume reflect recent advances in these fields and form a tribute to Panchapakesans influence and impact on these areas. Thematically organized, the chapters cover a broad range oftopics from: * Inference * Ranking and Selection * Multiple Comparisons and Tests * Agreement Assessment * Reliability * Biostatistics Featuring theory, methods, applications, and extensive bibliographies with special emphasis onrecent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities
Note:Springer eBooks
Contents:From the contents: Preface
S. Panchapakesan Life and Works
Contributors
List or Tables
List of Figures
Part I: Inference
Score Test: Historical Review and Recent Developments
EM Algorithm and Optimal Censoring Schemes for Progressively Type
II Censored Bivariate Normal Data
Inference Guided Data Exploration
Discriminating Between Normal and Laplace Distributions
A Simple Classification Rule for Directional Data
Part II: Ranking and Selection
On Some Ranking and Selection Procedures for MANOVA Models with Applications
A Restricted Subset Selection Ru
ISBN:9780817644222
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Distribution (Probability theory) , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2005-9780387228273:ONLINE Show nearby items on shelf
Title:Tutorials on Emerging Methodologies and Applications in Operations Research [electronic resource] : Presented at Informs 2004, Denver, CO
Author(s): H J G
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Operations Research emerged as a quantitative approach to problem-solving in World War II. Its founders, who were physicists, mathematicians, and engineers, quickly found peace-time uses for this new field. Moreover, we can saythat Operations Researc h (OR) was born in the same incubator as computer science, and through the years, it has spawned many new disciplines, including systems engineering, health care management, and transportation science.Fundamentally, Operations Research crosses discipline domains to seek solutions on a range of problems and benefits diverse disciplines from finance to bioengineering. Many disciplines routinely use OR methods. Many scientificresearchers, engineers, and others will find the methodological presentations in th is book useful and helpful in their problem-solving efforts. ORs strengths are modeling, analysis, and algorithm design. It provides a quantitativefoundation for a broad spectrum of problems, from economics to medicine, from environmental control to sport s, from e-commerce to computational geometry. The primary purpose of TUTORIALS ON EMERGING METHODOLOGIES AND APPLICATIONS INOPERATIONS RESEARCH is to provide a reference for practitioners and academics who seek a clear, concise presentation of developing methodologies, hence providing themselves with the capability to apply these methods to new problems.The field of Operations Research is always changing. Its changes are driven by the technology it uses and that it extends, and the applications that it af fects. Relevant changes in the field have a permanent effect on the conduct of ORand are vital to anyone who wants to be current in the field. Each chapter presents a new developing methodology in Operations Research. Each chapter examines each topic with clarity and depth, and organizes the examination around thefollowing questions: (1) What the developing methodology basically is about? (2) Why is it important? and (3) Where can I learn more?
Note:Springer eBooks
Contents:Heuristic Search for Network Design
Polyhedral Combinatorics
Radiation Oncology and Optimization
Parallel Algorithm Design for Branch and Bound
Computer
Aided Design for Electrical and Computer Engineering
Nonlinear Programming and Engineering Applications
Connecting MRP, MRP II and ERP
Supply Chain Production Planning via Optimization Models
ISBN:9780387228273
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research & Management Science, 0884-8289 : v76
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Computational complexity , Computer aided design , Computer science Mathematics , Operations research
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Call number:SPRINGER-2004-9780387763712:ONLINE Show nearby items on shelf
Title:Monte Carlo Strategies in Scientific Computing
Author(s): Jun S Liu
Date:2004
Size:1 online resource (344 p.)
Note:10.1007/978-0-387-76371-2
Contents:1 Introduction and Examples -- 2 Basic Principles: Rejection, Weighting, and Others -- 3 Theory of Sequential Monte Carlo -- 4 Sequential Monte Carlo in Action -- 5 Metropolis Algorithm and Beyond -- 6 The Gibbs Sampler -- 7 Cluster
Algorithms for the Ising Model -- 8 General Conditional Sampling -- 9 Molecular Dynamics and Hybrid Monte Carlo -- 10 Multilevel Sampling and Optimization Methods -- 11 Population-Based Monte Carlo Methods -- 12 Markov Chains and Their
Convergence -- 13 Selected Theoretical Topics -- A Basics in Probability and Statistics -- A.1 Basic Probability Theory -- A.1.1 Experiments, events, and probability -- A.1.2 Univariate random variables and their properties -- A.1.3
Multivariate random variable -- A.1.4 Convergence of random variables -- A.2 Statistical Modeling and Inference -- A.2.1 Parametric statistical modeling -- A.2.2 Frequentist approach to statistical inference -- A.2.3 Bayesian
methodology -- A.3 Bayes Procedure and Missing Data Formalism -- A.3.1 The joint and posterior distributions -- A.3.2 The missing data problem -- A.4 The Expectation-Maximization Algorithm -- References -- Author Index
ISBN:9780387763712
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Computer mathematics , Probabilities , Physics , Statistics , Statistical Theory and Methods , Computational Mathematics and Numerical Analysis , Statistics for Business/Economics/Mathematical Finance/Insurance , Probability Theory and Stochastic Processes , Mathematical Methods in Physics , Numerical and Computational Physics
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Call number:SPRINGER-2003-9783540247555:ONLINE Show nearby items on shelf
Title:Incomplete Information and Heterogeneous Beliefs in Continuous-time Finance
Author(s): Alexandre Ziegler
Date:2003
Size:1 online resource (198 p.)
Note:10.1007/978-3-540-24755-5
Contents:1 Incomplete Information: An Overview -- 1.1 Introduction -- 1.2 Portfolio Choice -- 1.3 The Term Structure of Interest Rates -- 1.4 Equilibrium Asset Pricing -- 1.5 Conclusion and Outlook -- 2 The Impact of Incomplete Information on
Utility, Prices, and Interest Rates -- 2.1 Introduction -- 2.2 The Model -- 2.3 Equilibrium -- 2.4 Logarithmic Utility -- 2.5 Power Utility -- 2.6 Information, Utility, Prices, and Interest Rates: A Synthesis -- 2.7 Time-Varying
Parameters -- 2.8 Conclusion -- 3 Optimal Portfolio Choice Under Heterogeneous Beliefs -- 3.1 Introduction -- 3.2 The Model -- 3.3 The Deviant Agent’s Problem -- 3.4 Optimal Portfolio Choice -- 3.5 An Example -- 3.6 Conclusion -- 4
Optimal Consumption Under Heterogeneous Beliefs -- 4.1 Introduction -- 4.2 The Cox-Huang Methodology -- 4.3 Heterogeneous Beliefs -- 4.4 An Example -- 4.5 Portfolios and Consumption: A Synthesis -- 4.6 Conclusion -- 5 Equilibrium Asset
Pricing Under Heterogeneous Beliefs -- 5.1 Introduction -- 5.2 The Model -- 5.3 Equilibrium Consumption -- 5.4 Equilibrium Prices -- 5.5 Implied Risk Aversion -- 5.6 Conclusion -- 6 Costly Information, Imperfect Learning, and
Information Aggregation -- 6.1 Introduction -- 6.2 The Model -- 6.3 Portfolio Choice under Costly Information -- 6.4 Equilibrium Asset Pricing -- 6.5 Information Aggregation and the Equity Premium -- 6.6 Conclusion -- 7 Summary and
Conclusion -- C The Short Rate Under Heterogeneous Beliefs -- References -- List of Figures -- List of Tables -- List of Symbols
ISBN:9783540247555
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Finance , Economics, Mathematical , Finance , Finance, general , Quantitative Finance
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Call number:SPRINGER-2003-9780387217277:ONLINE Show nearby items on shelf
Title:Analyzing Categorical Data
Author(s): Jeffrey S Simonoff
Date:2003
Size:1 online resource (498 p.)
Note:10.1007/978-0-387-21727-7
Contents:1 Introduction -- 2 Gaussian-Based Data Analysis -- 3 Gaussian-Based Model Building -- 4 Categorical Data and Goodness-of-Fit -- 5 Regression Models for Count Data -- 6 Analyzing Two-Way Tables -- 7 Tables with More Structure -- 8
Multidimensional Contingency Tables -- 9 Regression Models for Binary Data -- 10 Regression Models for Multiple Category Response Data -- A Some Basics of Matrix Algebra -- References
ISBN:9780387217277
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Social sciences , Probabilities , Statistics , Social Sciences , Methodology of the Social Sciences , Probability Theory and Stochastic Processes , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2003-9780387216454:ONLINE Show nearby items on shelf
Title:Survival Analysis Techniques for Censored and Truncated Data
Author(s): John P Klein
Date:2003
Edition:Second Edition
Size:1 online resource (538 p.)
Note:10.1007/b97377
Contents:Examples of Survival Data -- Basic Quantities and Models -- Censoring and Truncation -- Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data -- Estimation of Basic Quantities for Other Sampling
Schemes -- Topics in Univariate Estimation -- Hypothesis Testing -- Semiparametric Proportional Hazards Regression with Fixed Covariates -- Refinements of the Semiparametric Proportional Hazards Model -- Additive Hazard Regression
Models -- Regression Diagnostics -- Inference for Parametric Regression Models -- Multivariate Survival Analysis
ISBN:9780387216454
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Medicine , Epidemiology , Probabilities , Statistics , Social sciences , Medicine & Public Health , Epidemiology , Probability Theory and Stochastic Processes , Methodology of the Social Sciences , Statistics for Life Sciences, Medicine, Health Sciences , Statistical Theory and Methods , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9784431669937:ONLINE Show nearby items on shelf
Title:Empirical Science of Financial Fluctuations The Advent of Econophysics
Author(s):
Date:2002
Size:1 online resource (352 p.)
Note:10.1007/978-4-431-66993-7
Contents:Quantifying Empirical Economic Fluctuations Using the Organizing Principles of Scale Invariance and Universality -- Price Fluctuations and Market Activity -- Transaction Interval Analysis of High Resolution Foreign Exchange Data --
Random Matrix Theory and Cross-Correlations of Stock Prices -- A Random Matrix Theory Approach to Quantifying Collective Behavior of Stock Price Fluctuations -- Dynamics of Correlations in the Stock Market -- False EUR Exchange Rates
vs. DKK, CHF, JPY and USD. What is a strong currency? -- Crashes : Symptoms, Diagnoses and Remedies -- Variety of Stock Returns in Normal and Extreme Market Days: The August 1998 Crisis -- A Mechanism of International Transmission of
Financial Crises -- High Frequency Data Analysis in an Emerging and a Developed Market -- Measuring Long-Range Dependence in Electricity Prices -- Micro-Simulations of Financial Markets and the Stylized Facts -- Statistical Property of
Price Fluctuations in a Multi-Agent Model and the Currency Exchange Market -- A Speculative Financial Market Model -- Spin-Glass Like Network Model for Stock Market -- Three Bodies Trading Model in Financial Markets and Its Numerical
Simulation Methodology with Genetic Algorithms -- Derivation of ARCH(1) Process from Market Price Changes Based on Deterministic Microscopic Multi-Agent -- A Simple Model of Volatility Fluctuations in Asset Markets -- Self-Similarity
of Price Fluctuations and Market Dynamics -- Survival Probability of LIFFE bond futures via the Mittag-Leffler Function -- Why is it Fat-Tailed? -- Market Price Simulator Based on Analog Electrical Circuit -- Simulation and Analysis of
a Power Law Fluctuation Generator -- Deformation of Implied Volatility Surfaces: An Empirical Analysis -- Predictability of Market Prices -- Time-Space Scaling of Financial Time Series -- Parameter Estimation of a Generalized Langevin
Equation of Market Price -- Analysis of Stock Markets, Currency Exchanges and Tax Revenues -- Trading System Applied to Large Mutual Fund Company -- Why Financial Markets Will Remain Marginally Inefficient -- The Law of Consumer Demand
in Japan: A Macroscopic Microeconomic View -- A Functional-Analytic and Numerical-Analytic Approach to Nonlinear Economic Models Described by the Master Equation -- Modelling the Growth Statistics of Economic Organizations --
Statistical Laws in the Income of Japanese Companies -- Empirical Identification of Competitive Strategies: Russian Bank System -- Pareto’s Law for Income of Individuals -- Physics of Personal Income
ISBN:9784431669937
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Finance , Statistical physics , Dynamical systems , Statistics , Physics , Statistical Physics, Dynamical Systems and Complexity , Finance, general , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9783642561818:ONLINE Show nearby items on shelf
Title:Classification, Clustering, and Data Analysis Recent Advances and Applications
Author(s):
Date:2002
Size:1 online resource (508 p.)
Note:10.1007/978-3-642-56181-8
Contents:I. Clustering and Discrimination -- Clustering -- Some Thoughts about Classification -- Partial Defuzzification of Fuzzy Clusters -- A New Clustering Approach, Based on the Estimation of the Probability Density Function, for Gene
Expression Data -- Two-mode Partitioning: Review of Methods and Application of Tabu Search -- Dynamical Clustering of Interval Data Optimization of an Adequacy Criterion Based on Hausdorff Distance -- Removing Separation Conditions in
a 1 against 3-Components Gaussian Mixture Problem -- Obtaining Partitions of a Set of Hard or Fuzzy Partitions -- Clustering for Prototype Selection using Singular Value Decomposition -- Clustering in High-dimensional Data Spaces --
Quantization of Models: Local Approach and Asymptotically Optimal Partitions -- The Performance of an Autonomous Clustering Technique -- Cluster Analysis with Restricted Random Walks -- Missing Data in Hierarchical Classification of
Variables — a Simulation Study -- Cluster Validation -- Representation and Evaluation of Partitions -- Assessing the Number of Clusters of the Latent Class Model. -- Validation of Very Large Data Sets Clustering by Means of a
Nonparametric Linear Criterion -- Discrimination -- Effect of Feature Selection on Bagging Classifiers Based on Kernel Density Estimators -- Biplot Methodology for Discriminant Analysis Based upon Robust Methods and Principal Curves --
Bagging Combined Classifiers -- Application of Bayesian Decision Theory to Constrained Classification Networks -- II. Multivariate Data Analysis and Statistics -- Multivariate Data Analysis -- Quotient Dissimilarities, Euclidean
Embeddability, and Huygens’ Weak Principle -- Conjoint Analysis and Stimulus Presentation — a Comparison of Alternative Methods -- Grade Correspondence-cluster Analysis Applied to Separate Components of Reversely Regular Mixtures --
Obtaining Reducts with a Genetic Algorithm -- A Projection Algorithm for Regression with Collinearity -- Confronting Data Analysis with Constructivist Philosophy -- Statistical Methods -- Maximum Likelihood Clustering with Outliers --
An Improved Method for Estimating the Modes of the Probability Density Function and the Number of Classes for PDF-based Clustering -- Maximization of Measure of Allowable Sample Sizes Region in Stratified Sampling -- On Estimation of
Population Averages on the Basis of Cluster Sample -- Symbolic Data Analysis -- Symbolic Regression Analysis -- Modelling Memory Requirement with Normal Symbolic Form -- Mixture Decomposition of Distributions by Copulas --
Determination of the Number of Clusters for Symbolic Objects Described by Interval Variables -- Symbolic Data Analysis Approach to Clustering Large Datasets -- Symbolic Class Descriptions -- Consensus Trees and Phylogenetics -- A
Comparison of Alternative Methods for Detecting Reticulation Events in Phylogenetic Analysis -- Hierarchical Clustering of Multiple Decision Trees -- Multiple Consensus Trees -- A Family of Average Consensus Methods for Weighted Trees
-- Comparison of Four methods for Inferring Additive Trees from Incomplete Dissimilarity Matrices -- Quartet Trees as a Tool to Reconstruct Large Trees from Sequences -- Regression Trees -- Regression Trees for Longitudinal Data with
Time-dependent Covariates -- Tree-based Models in Statistics: Three Decades of Research -- Computationally Efficient Linear Regression Trees -- Neural Networks and Genetic Algorithms -- A Clustering Based Procedure for Learning the
Hidden Unit Parameters in Elliptical Basis Function Networks -- Multi-layer Perceptron on Interval Data -- III. Applications -- Textual Analysis of Customer Statements for Quality Control and Help Desk Support -- AHP as Support for
Strategy Decision Making in Banking -- Bioinformatics and Classification: The Analysis of Genome Expression Data -- Glaucoma Diagnosis by Indirect Classifiers -- A Cluster Analysis of the Importance of Country and Sector on Company
Returns -- Problems of Classification in Investigative Psychology -- List of Reviewers
ISBN:9783642561818
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Mathematical statistics , Database management , Applied mathematics , Engineering mathematics , Probabilities , Statistics , Computer Science , Database Management , Probability Theory and Stochastic Processes , Applications of Mathematics , Statistical Theory and Methods , Probability and Statistics in Computer Science , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-2002-9781475768718:ONLINE Show nearby items on shelf
Title:Transportation and Network Analysis: Current Trends Miscellanea in honor of Michael Florian
Author(s):
Date:2002
Size:1 online resource (243 p.)
Note:10.1007/978-1-4757-6871-8
Contents:1 Allocation of railroad capacity under competition: a game theoretic approach to track time pricing -- 2 Real Time Simulation of Traffic demand-supply interactions within DynaMIT -- 3 Implications of Marginal Cost Road Pricing for
Urban Travel Choices and User Benefits -- 4 A Dynamic User Equilibrium Model for Traffic Assignment in Urban Areas -- 5 Estimation of travel demand using traffic counts and other data sources -- 6 Path Recovery/Reconstruction and
Applications in Nonlinear Multimodal Multicommodity Networks -- 7 Linear-in-parameters logit model derived from the Efficiency Principle -- 8 A Multi-Class Multi-Mode Variable Demand Network Equilibrium Model with Hierarchical Logit
Structures -- 9 A Toll Pricing Framework for Traffic Assignment Problems with Elastic Demand -- 10 A Decision Support Methodology for Strategic Traffic Management -- 11 Column Generation Method for Network Design -- 12 Computing Fixed
Points by Averaging -- 13 Pollution Permits for Spatial Price Networks -- 14 A new dual algorithm for shortest path reoptimization -- 15 Biproportional Matrix Balancing with Upper Bounds
ISBN:9781475768718
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 63
Keywords: Business , Production management , Operations research , Decision making , Management science , Regional economics , Spatial economics , Business and Management , Operation Research/Decision Theory , Operations Management , Regional/Spatial Science , Operations Research, Management Science
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Call number:SPRINGER-2002-9781475752267:ONLINE Show nearby items on shelf
Title:Financial Engineering, E-commerce and Supply Chain
Author(s):
Date:2002
Size:1 online resource (401 p.)
Note:10.1007/978-1-4757-5226-7
Contents:1 The Threshold Accepting Heuristic for Index Tracking -- 2 Algorithms for Optimization of Value-at-Risk -- 3 Empirical Bayes Estimation of Securities Price Parameters -- 4 The Value of Integrative Risk Management for Insurance
Products with Guarantees -- 5 ?-Quantile Option in a Jump-Diffusion Economy -- 6 On Optimality Condition of Interacting Agents in Financial Markets -- 7 Searching for the Optimal Defence Expenditure -- 8 The Efficiency of Capital
Market Microstructure in Greece -- 9 A Multiobjective Methodology for Bank Asset Liability Management -- 10 Post Tax Optimal Investments -- 11 Random Matrix Theory and a Definition of Correlations in Financial Markets -- 12 The
Simulation of the Implied Distribution and Other Smile Consistent Stochastic Volatility Models: An Overview -- 13 e-Commerce in the Agribusiness Sector: Present Situation and Future Trends -- 14 Identifying Patterns in Internet Retail
Store Layouts -- 15 A Dynamic Slope Scaling Procedure for the Fixed-Charge Cost Multi-Commodity Network Flow Problem -- 16 Inventory Management -- 17 Non-Linear Pricing in Single Period Supply Contracts with Asymmetric Demand
Information -- 18 The Optimization of the Distribution System in the Context of Supply Chain Management Development -- 19 From Logistics to Collaborative Logistics — a Theoretical Approach -- 20 Supply Chain Management: A Business
Approach to Some Actual Aspects -- 21 Failure Discrimination by Semi-Definite Programming
ISBN:9781475752267
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Applied Optimization: 70
Keywords: Computer science , Business , Management science , Finance , E-commerce , Algorithms , Economics , Computer Science , e-Commerce/e-business , Business and Management, general , Finance, general , Economics, general , Computer Science, general , Algorithms
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Call number:SPRINGER-2002-9781475736632:ONLINE Show nearby items on shelf
Title:Statistical Consulting
Author(s): Javier Cabrera
Date:2002
Size:1 online resource (390 p.)
Note:10.1007/978-1-4757-3663-2
Contents:I The Methodology of Statistical Consulting -- 1 Introduction to Statistical Consulting -- 2 Communication -- 3 Methodological Aspects -- 4 A Consulting Project from A to Z -- II Case Studies -- 5 Introduction to the Case Studies -- 6
Case Studies from Group I -- 7 Case Studies from Group II -- 8 Case Studies from Group III -- 9 Additional Case Studies -- A Resources -- A.1 References -- A.2 Datasets for Case Studies in Part II -- A.3 Statistical Consulting Course
-- A.3.1 Course Description -- A.3.2 List of Topics by Week -- A.3.3 Reference List -- B Statistical Software -- B.1 SAS -- B.1.1 The SAS Setup -- B.1.2 Details on the DATA Step -- B.1.3 SAS Procedures -- B.1.4 Further Details of SAS
-- B.2 S-PLUS -- B.2.1 S-PLUS Preliminaries -- B.2.2 The S-PLUS Setup -- B.2.3 Basic S-PLUS Commands -- B.2.4 Efficient Use of S-PLUS -- B.2.5 S-PLUS Statistical Procedures -- B.2.6 S-PLUS Glossary -- C Statistical Addendum -- C.1
Univariate Distributions -- C.2 Multivariate Distributions -- C.3 Statistical Tests -- C.4 Sample Size -- References
ISBN:9781475736632
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Statistics , Statistical Theory and Methods , Statistics for Life Sciences, Medicine, Health Sciences , Statistics for Business/Economics/Mathematical Finance/Insurance , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Statistics for Social Science, Behavorial Science, Education, Public Policy, and
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Call number:SPRINGER-2001-9783540445487:ONLINE Show nearby items on shelf
Title:Consistency Problems for Heath-Jarrow-Morton Interest Rate Models
Author(s): Damir Filipović
Date:2001
Size:1 online resource (138 p.)
Note:10.1007/b76888
Contents:Introduction -- Stochastic Equations in Infinite Dimension -- Consistent State Space Processes -- The HJM Methodology Revisited -- The Forward Curve Spaces H_w -- Invariant Manifolds for Stochastic Equations -- Consistent HJM Models
-- Appendix: A Summary of Conditions
ISBN:9783540445487
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Mathematics: 1760
Keywords: Mathematics , Finance , Applied mathematics , Engineering mathematics , Economics, Mathematical , Probabilities , Mathematics , Applications of Mathematics , Finance, general , Quantitative Finance , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1999-9783642488634:ONLINE Show nearby items on shelf
Title:Micro- and Macrodata of Firms Statistical Analysis and International Comparison
Author(s):
Date:1999
Size:1 online resource (751 p.)
Note:10.1007/978-3-642-48863-4
Contents:A: Enterprise Groups -- Exploring the Role of Acquisition in the Performance of Firms: Is the “Firm” The Right Unit of Analysis? -- The Role of French and Foreign Enterprise Groups in the French Productive System Internationalization
-- Enterprise Group: The French Methodology and Results -- Integration of Information in Enterprise Groups -- Myths and Realities about Employment and SMES in France: The Role of Enterprise Groups (1984–1992) -- B: International
Comparison -- International Comparability and Quality of Statistics -- Sample Dependence: Theoretical Aspects and Illustrations -- The Role of Technology in Manufacturing Employment and Productivity Growth: A Cross Country Micro Data
Analysis of Japan and the United States -- Quality Indicators for Statistical Surveys -- C: Efficiency, Productivity, Innovation and Other Factors -- Dynamic Labour Demand Model for Heterogeneous Panels -- Productivity and Specificity
in Factor Inputs -- Is Maximal Efficiency Necessarily Optimal for Firms? A Panel Data Analysis of Firms Technical Efficiency within an Efficiency Wage Framework -- Productivity, Competition, Financial Pressure and Corporate Governance
— Some Empirical Evidence -- Changing Nature of Japanese Firm?: Technology Adoption, Organizational Structure and Human Resource Strategy -- Parametric Estimation of Technical and Allocative Efficiencies and Productivity Changes: A
Case Study -- Efficiency of the Italian Banking Sector via a Parametric Approach -- Analysis of Effects of Reconstructed Business Units on Employment and Productivity. Longitudinal Study Using Synthetic Units of Finnish Manufacturing
-- Factors of Performance by Plant Generations. Some Findings from Finland -- Efficiency and Optimal Size Estimation with Panel Data: The Case of Business Service and Building Sector in Italy -- Information Content of Balance Sheets
for Quantitative Analysis of Industrial Districts -- Efficiency and Localisation: The Case of Italian Districts -- Groups, SME, and Territories: A Statistical Typology of the Local Industrial Structures in France -- Econometric Issues
in the Analysis of Linked Worker-Employer Surveys -- Dynamics of Italian Industrial Firms: Microeconomic Analysis of Performance and Labour Demand from 1989 to 1994 -- The Influence of Adjustment Costs on Labour Adjustment: An Analysis
Using Panel Data for Manufacturing Establishments in Lower Saxony -- Companies and Local Units: The Employment Trends in France -- Rank, Stock, Order and Epidemic Effects in the Diffusion of New Technologies in Italian Manufacturing
Industries -- Problems of Competitiveness Indicators -- Financing Constraints and Markups: Further Evidence Form Italian Firm Level Data -- Measuring the Duration of Italian Enterprises on the European Market (1997) -- Trend of the
Tourist Flows in Italian Hotels: A Microeconomic Analysis During the Period 1990–95 -- Assessing Slacks through a Nested Radial Approach in an FDH Reference Technology -- Unobserved Revenues Estimation for Homogeneous Agricultural
Firms: An Econometric Modelling Approach -- D: Task Force -- Issues in Following Enterprises through Time -- Authors List and Addresses
ISBN:9783642488634
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business , Business mathematics , Statistics , Econometrics , Business and Management , Business Mathematics , Econometrics , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-1998-9781447139133:ONLINE Show nearby items on shelf
Title:Visual Explorations in Finance with Self-Organizing Maps
Author(s):
Date:1998
Size:1 online resource (13 p.)
Note:10.1007/978-1-4471-3913-3
Contents:1: Applications -- 1 Let Financial Data Speak for Themselves -- 2 Projection of Long-term Interest Rates with Maps -- 3 Picking Mutual Funds with Self-Organizing Maps -- 4 Maps for Analyzing Failures of Small and Medium-sized
Enterprises -- 5 Self-Organizing Atlas of Russian Banks -- 6 Investment Maps of Emerging Markets -- 7 A Hybrid Neural Network System for Trading Financial Markets -- 8 Real Estate Investment Appraisal of Land Properties using SOM -- 9
Real Estate Investment Appraisal of Buildings using SOM -- 10 Differential Patterns in Consumer Purchase Preferences using Self-Organizing Maps: A Case Study of China -- 2: Methodology, Tools and Techniques -- 11 The SOM Methodology --
12 Self-Organizing Maps of Large Document Collections -- 13 Software Tools for Self-Organizing Maps -- 14 Tips for Processing and Color-coding of Self-Organizing Maps -- 15 Best Practices in Data Mining using Self-Organizing Maps --
Notes -- Author Index
ISBN:9781447139133
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Finance , Economics, Mathematical , Atoms , Physics , Mathematics , Quantitative Finance , Atomic, Molecular, Optical and Plasma Physics , Finance, general
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Call number:SPRINGER-1997-9783662034996:ONLINE Show nearby items on shelf
Title:Recent Developments in Spatial Analysis Spatial Statistics, Behavioural Modelling, and Computational Intelligence
Author(s):
Date:1997
Size:1 online resource (433 p.)
Note:10.1007/978-3-662-03499-6
Contents:1 Advances in Spatial Analysis -- A Spatial Data Analysis -- 2 Mixed Estimation and the Expansion Method: An Application to the Spatial Modelling of the Aids Epidemic -- 3 Exploratory Spatial Data Analysis Linking SpaceStat and Arc
View -- 4 Measuring Spatial Variations in Relationships with Geographically Weighted Regression -- 5 Regionalisation Tools for the Exploratory Spatial Analysis of Health Data -- 6 A Structural Time Series Approach to Forecasting the
Space-Time Incidence of Infectious Diseases: Post-War Measles Elimination Programmes in the United States and Iceland -- 7 Estimating the Impact of Preventative Action on the Space-Time Incidence of HIV/AIDS -- B Behavioural Modelling
-- 8 Longitudinal Approaches to Analyzing Migration Behaviour in the Context of Personal Histories -- 9 Computational Process Modelling of Disaggregate Travel Behaviour -- 10 Modelling Non-Work Destination Choices with Choice Sets
Defined by Travel-Time Constraints -- 11 Space-Time Consumer Modelling, Store Wars and Retail Trading Hour Policy in Australia -- 12 A Multi-Objective Model for Developing Retail Location Strategies in a DSS Environment -- 13 Recent
Developments in the Modelling of Strategy Reformulation -- 14 Some Implications of Behaviour in Agricultural Markets -- C CI-based Spatial Analysis -- 15 Neurocomputing for Earth Observation — Recent Developments and Future Challenges
-- 16 Fuzzy ARTMAP — A Neural Classifier for Multispectral Image Classification -- 17 Feedforward Neural Network Models for Spatial Data Classification and Rule Learning -- 18 Bulding Fuzzy Spatial Interaction Models -- 19 Epilogue --
Author Index -- Contributors
ISBN:9783662034996
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Applied mathematics , Engineering mathematics , Regional economics , Spatial economics , Social sciences , Mathematics , Applications of Mathematics , Methodology of the Social Sciences , Simulation and Modeling , Regional/Spatial Science
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Call number:SPRINGER-1997-9783642591327:ONLINE Show nearby items on shelf
Title:Multiple Criteria Decision Making Proceedings of the Twelfth International Conference Hagen (Germany)
Author(s):
Date:1997
Size:1 online resource (678 p.)
Note:10.1007/978-3-642-59132-7
Contents:Contents: Theory -- Methods: Methodology -- Algorithms -- Applications: Applications in Engineering -- Applications in Environment -- Applications in Management
ISBN:9783642591327
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Economics and Mathematical Systems: 448
Keywords: Mathematics , Operations research , Decision making , Applied mathematics , Engineering mathematics , Game theory , Probabilities , Statistics , Engineering , Mathematics , Game Theory, Economics, Social and Behav. Sciences , Applications of Mathematics , Engineering, general , Operation Research/Decision Theory , Probability Theory and Stochastic Processes , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-1996-9781461239826:ONLINE Show nearby items on shelf
Title:Decision Aids for Selection Problems
Author(s): David L Olson
Date:1996
Size:1 online resource (194 p.)
Note:10.1007/978-1-4612-3982-6
Contents:1 Introduction -- Multiple Criteria Decision Making -- Value -- Software Sources -- References -- 2 Developing Criteria Hierarchies -- Hierarchies -- Attributes -- Hierarchy Development Process -- Suggestions for Cases where
Preferential Independence is Absent -- Energy Hierarchies -- Conclusions -- References -- 3 Multiattribute Utility Theory -- Case: Nuclear Depository Siting -- Multiattribute Utility Theory -- Tradeoff Analysis -- Nuclear Dump Site
Selection -- House Selection -- Conclusions -- References -- 4 Smart -- The SMART Technique -- Independence -- Nuclear Dump Site Example -- House Selection Example -- SMARTS -- Nuclear Site Selection with SMARTS -- SMARTER -- House
Selection Example Using SMARTER -- Summary -- References -- 5 The Analytic Hierarchy Process -- Description of AHP -- Hierarchy Development -- Subjective Pairwise Comparisons -- Calculation of Implied Weights -- Consistency Measure --
Synthesis -- Calculations for the Nuclear Waste Disposal Siting Problem -- Calculations for the Housing Selection Decision -- Real-World Applications of AHP -- Computer Support for AHP -- Summary -- Appendix: Calculation of Maximum
Eigen Value and Eigenvector -- References -- 6 Geometric Mean Technique -- Geometric Mean Solution -- REMBRANDT -- Nuclear Disposal Site Selection Problem -- House Selection Calculations -- References -- 7 Preference Cones -- Procedure
-- Basing Objective on Current Best Choice -- Basing Objective on Worst Choice to Date -- Adjacency Formulation -- Cellular Manufacturing Example -- Basing Objective on Current Best Choice -- Basing Objective on Worst Choice to Date --
Automation Example -- Nuclear Dump Site Selection -- Conclusions -- References -- 8 Outranking Methods -- ELECTRE -- Cellular Manufacturing Example -- Automation Example -- Nuclear Dump Site Selection — ELECTRE II -- PROMETHEE -- GAIA
Output -- Nuclear Dump Site Selection—PROMETHEE -- Applications of Outranking Methods -- Conclusions -- References -- 9 Zapros -- Demonstration Model -- Nuclear Dump Site Selection -- House Selection -- Conclusions -- References --
Appendix: Input Files -- 10 Aspiration-Level Interactive Model -- Methodology -- Nuclear Dump Site Selection -- Cellular Manufacturing Example -- Summary -- References -- 11 Visual Interactive Method -- VIMDA Overview -- VIMDA
Procedure -- Nuclear Dump Site Selection -- Cellular Manufacturing Example -- Summary -- References -- 12 Models with Uncertain Estimates -- ARIADNE -- Parking Example -- Nuclear Waste Disposal Siting Problem -- Uncertain Value
Contributions -- House Buying Example -- HIPRE 3+ -- Parking Example -- Nuclear Dump Site Example -- Summary -- References -- 13 Comparisons -- Task Type -- Task Dimensionality -- Task Uniqueness -- Decision Maker Cognitive Effort --
Human Subject Responses -- Aid to Decision Maker Learning -- Synthesis -- Conclusion -- References -- Author Index -- Topic Index
ISBN:9781461239826
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Business , Production management , Operations research , Decision making , Economic theory , Business and Management , Operation Research/Decision Theory , Operations Management , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-1993-9783642499722:ONLINE Show nearby items on shelf
Title:Stochastic Orders and Applications A Classified Bibliography
Author(s): Karl Mosler
Date:1993
Size:1 online resource (379 p.)
Note:10.1007/978-3-642-49972-2
Contents:Main List (by authors) -- Field Lists -- GMT: General Mathematical Theory -- MAJ: Majorization -- ECT: Economic Theory -- INM: Inequality Measurement -- FIN: Finance -- INS: Insurance -- CHR: Choice under Risk -- DEM: Decision
Methodology -- SEC: Special Applications in Economics -- MPR: Mathematical Programming -- QUE: Queueing -- REL: Reliability -- OOR: Other Applications in Operations Research -- STP: Stochastic Processes -- DEP: Dependence of Random
Variables -- PRI: Probability Inequalities -- OPR: Other Applications in Probability -- TES: Statistical Tests -- EST: Statistical Estimation -- SEL: Statistical Selection, Ranking, and Classification -- EXP: Experimental Design --
OST: Other Applications in Statistics -- MPH: Mathematical Physics -- OTH: Other Applications -- COM: Algorithms and Computation -- Appendix: Supplementary List
ISBN:9783642499722
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Economics and Mathematical Systems: 401
Keywords: Mathematics , Probabilities , Statistics , Economic theory , Mathematics , Probability Theory and Stochastic Processes , Economic Theory/Quantitative Economics/Mathematical Methods , Statistics for Business/Economics/Mathematical Finance/Insurance
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Call number:SPRINGER-1989-9783642750403:ONLINE Show nearby items on shelf
Title:Conceptual and Numerical Analysis of Data Proceedings of the 13th Conference of the Gesellschaft für Klassifikation e. V., University of Augsburg, April 10–12, 1989
Author(s):
Date:1989
Size:1 online resource (530 p.)
Note:10.1007/978-3-642-75040-3
Contents:Section 1: Data Analysis and Classification: Basic Concepts and Methods -- Robustness of Estimation Methods against Small Sample Sizes and Nonnormality in Confirmatory Factor Analysis Models -- Probabilistic Aspects in Cluster
Analysis -- Symbolic Cluster Analysis -- Analysis of Nonnormal Longitudinal Data with Generalized Linear Models -- Cluster Methods for Qualitative Data -- On Testing for and against Inequality Restrictions -- Evaluation of a Survey
with Methods of Formal Concept Analysis -- A New Modification of the Rand Index for Comparing Partitions -- Relations between Models for Three-Way Factor Analysis and Multidimensional Scaling -- Algorithms in Multidimensional Scaling
-- Extensions of Correspondence Analysis for the Statistical Exploration of Multidimensional Contingency Tables -- Numerical Classification of Biased Estimators -- An Agglomerative Algorithm of Overlapping Clustering -- Isotonic
Regression — For a Monotone Index on a Hierarchy -- On the Interpretation of Median Relations -- Least Squares Approximation of Additive Trees -- Geometric Representation of Concept Lattices -- On Properties of Additive Tree Algorithms
-- Section 2: Applications in Library Sciences, Documentation and Information Sciences -- Knowledge Structures and Knowledge Representation: Psychological Models of Conceptual Order -- Qualitative and Numerical Data in a
Three-dimensional System -- New Concepts and Terms During the French Revolution. A Classification of the Neologisms According to their Origin -- Einige sprachliche Probleme bei der Arbeit an einer Klassifikation und deren Registern --
Data Analysis in Literary Studies -- Have Very Large Data Bases Methodological Relevance? -- Priority-Based Classification of Available Information — An Important Aspect of Future User Interfaces -- Section 3: Applications in Economics
and Social Sciences -- Computer-Based and Quantitative Methods in Market Research -- Sample Techniques Used in Marketing Research -- Generalized Latent Class Analysis: A New Methodology for Market Structure Analysis -- The Use of the
Logical Programming Language PROLOG as a Classification Method -- Classification and Selection of Consumer Purchase Behaviour Models -- Towards a New Socioeconomic Classification Scheme for Farm Households Using a Cluster Analysis
Technique -- Identification of Multiple Criteria Decision Making -- Explorative Data Analysis and Macroeconomics -- A Microeconometric Study of Travelling Behaviour -- Inference Techniques in Decision Support Systems — Comparison and
Example from Data Analysis -- Section 4: Applications in Natural Sciences and Computer Sciences -- The Classification of Organisms — The Hurdle of Homology — -- Limits in the Reconstruction of Phylogenetic Trees Exemplified with 5S
rRNA Sequences -- The Concept of Information in Computer Science -- Exploring Homologous tRNA Sequence Data: Positional Mutation Rates and Genetic Distance -- Nucleotide Sequence Analysis of Conserved Genes from Bacteria -- An Analysis
of Throughput Measurements on a Computer Network -- AC-Characteristics and the Pass/Fail Performance of a Memory Chip -- Authors
ISBN:9783642750403
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Operations research , Decision making , Data structures (Computer science) , Economic theory , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Operation Research/Decision Theory , Data Structures , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-1986-9783642468902:ONLINE Show nearby items on shelf
Title:COMPSTAT Proceedings in Computational Statistics, 7th Symposium held in Rome 1986
Author(s):
Date:1986
Size:1 online resource (513 p.)
Note:10.1007/978-3-642-46890-2
Contents:1. Information Science and Statistics -- Information Science and Statistics -- Catastrophe Theory as a Tool for Statistical Analysis of Systems -- New Procedures for Generating Optimal Experimental Designs -- 2. Probabilistic Models
in Exploratory Data Analysis -- Some Guidelines for Principal Component Analysis -- Comparison of Least Squares with Least Absolute Deviation Forecasting Using Simulation Techniques -- Modeling the Reliability of Fault-Tolerant
Software Systems -- Computerized Exploratory Screening of Large-Dimensional Contingency Tables -- A Fast Algorithm for Some Exploratory Methods in Categorical Data Problems -- Easy to Generate Metrics for Use with Sampled Functions --
3. Computational Approach of Inference -- Sequential Inference Processes in Computational Aspects -- Variance Components as a Method for Routine Regression Analysis of Survey Data -- On the Assessment of Case Influence in Generalized
Linear Models -- 4. Numerical Aspects of Statistical Computations -- Algoritmic Development in Variable Selection Procedures -- Linear Models of Categorical Variables -- A Fast Algorithm for Curve Fitting -- Generalized Multiplicative
Models -- A Convenient Way of Computing ML-Estimates: Use of Automatic Differentiation -- On the Numerical Solutions of Bounded Influence Regression Problems -- Testing of Statistical Algorithms and Programs with the Help of the
Multivariate Sample, Having Described Values of Empirical Parameters -- 5. Three-Mode Data Matrices -- Analysis of Three-Way Data Matrices Based on Pairwise Relation Measures -- Factor Analysis of Evolution and Cluster Methods on
Trajectories -- 6. Cluster Analysis Methods and Algorithms -- Links Between Clustering and Assignment Procedures -- Identification of Linear Regression Models by a Clustering Algorithm -- Validity Tests in Cluster Analysis Using a
Probabilistic Teacher Algorithm -- New Kinds of Graphical Representation in Clustering -- Projection of an Acute Symmetrical Simplicial Closed Convex Cone and its Application to Star Graphs -- Design of a Command Language for
Interactive or Batch Use in a Statistical Package -- Cross Association Measures and Optimal Clustering -- 7. Robustness in Multivariate Analysis -- Multivariate Data Analysis, Contributions and Shortcomings of Robustness in Practice --
On the Use of Bootstrap and Jackknife in Covariance Structure Analysis -- On a Class of Robust Methods for Multivariate Data Analysis -- Robust Recursive Estimation and Detection of Shifts in Regression -- How Robust is One Way Anova
with Respect to within Group Correlation -- Algorithms for the Beta Distribution Function -- 8. Computer Graphics and Data Presentation -- An Interactive Graphic System for Designing and Accessing Statistical Data Bases -- Non-Standard
Graphical Presentation -- Computer Graphics and Data Presentation, a First Step Toward a Cognitive and Ergonomic Analysis -- 9. Expert Systems -- Expert Systems and Data Analysis Package Management -- Developing Intelligent Software
for Non-Linear Model Fitting as an Expert System -- Express — An Expert System Utilizing Standard Statistical Packages -- Muse: An Expert System in Statistics -- Building Expert Systems with the Help of Existing Statistical Software:
An Example -- Statistical Data Validation and Expert Systems -- Knowledge Base Supported Analysis of Longitudinal Data -- How to Assist an Inexperienced User in the Preliminary Analysis of Time Series: First Version of the Estes Expert
System -- Object-Oriented Data Representations for Statistical Data Analysis -- 10. Statistical Software -- Algorithms for the Beta Distribution Function -- Interactive User-Friendly Package for Design and Analysis of Experiments --
NL: A Statistical Package for General Nonlinear Regression Problems -- Statistical Software for Personal Computers -- Recursive Techniques in Statistical Programming -- Design Criteria for a Flexible Statistical Language -- Statistical
Software SAM — Sensitivity Analysis in Multivariate Methods -- 11. Data Handling and Computational Methods of Clinical Trials -- Data Handling and Computational Methods in Clinical Trials -- Database Assisted Conduct of Clinical Trials
-- An APL-System for Analysing Multivariate Data -- AMS — A Computer Program for Survival Analysis, General Linear Models and a Stochastic Survival Model -- 12. Econometric Computing -- A Multilingual Specification System for
Statistical Software -- An Efficient Algorithm for Time Series Decomposition -- 13. Statistical Data Base Management Systems -- Database Management and Statistical Data Analysis: The Need for Integration and for Becoming More
Intelligent -- Privacy, Informatics and Statistics -- Italian Statistical Data Dictionary System Prototype Developed with a 4th Generation Language -- A Methodology for Conceptual Design of Statistical Databases -- Towards Natural
Integration of Database Management System and Statistical Software -- Easy-Link: An Expert Natural Language Interface to a Statistical Data Bank -- Farandole: A RDBMS for Statistical Data Analysis -- Model- and Method Banks (MMB) as a
Supplement to Statistical Data Banks -- A Security Mechanism Based on Uniform Rounding to prevent Tracker Techniques -- 14. Teaching of Computational Statistics -- A Data Analysis Course in a Computer Science Faculty -- Teaching
Computational Statistics on Workstations -- Teaching Regression Analysis Using MIMOSA — an Interactive Computer System for Matrix Calculus -- Late Arrivals -- Practical Use of Color Imagin in Automatic Classification -- Algorithm and
Software of Multivariate Statistical Analysis of Heterogeneous Data -- Adress-List of Authors
ISBN:9783642468902
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Statistics , Business , Management science , Operations research , Decision making , Business mathematics , Statistics , Statistics for Business/Economics/Mathematical Finance/Insurance , Business Mathematics , Operation Research/Decision Theory , Business and Management, general
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Call number:SPRINGER-1983-9781461337546:ONLINE Show nearby items on shelf
Title:Advances in Fuzzy Sets, Possibility Theory, and Applications
Author(s):
Date:1983
Size:1 online resource (422 p.)
Note:10.1007/978-1-4613-3754-6
Contents:Fuzzy Set Theory: Past, Present and Future -- Advances in Fuzzy Sets — An Overview -- A Survey of Some Aspects on the Research Work of Fuzzy Topology in China -- Some Properties of Fuzzy Convex Sets -- “Non-standard” Concepts in Fuzzy
Topology -- The Spaces of Fuzzy Probability and Possibility -- An Algebraic System Generalizing the Fuzzy Subsets of a Set -- From the Fuzzy Statistics to the Falling Random Subsets -- On Fuzzy Relations and Partitions -- Fuzzy Set
Structure with Strong Implication -- Inference Regions for Fuzzy Propositions -- Fuzzy Tree Grammar and Fuzzy Forest Grammar -- Fuzzy Production Rules: A Learning Methodology -- Decision Support with Fuzzy Production Systems --
Imprecision in Computer Vision -- Fuzzy Programming: Why and How? — Some Hints and Examples -- A Fuzzy, Heuristic, Interactive Approach to the Optimal Network Problem -- Application of Fuzzy Set Theory to Economics -- Use of Fuzzy
Logic for Implementing Rule-Based Control of Industrial Processes -- A New Approach to Design of Fuzzy Controller -- Advanced Results on Applications of Fuzzy Switching Functions to Hazard Detection -- The Application of Fuzzy Set
Theory to a Risk Analysis Model of Computer Security -- Fuzzy Models of Human Problem Solving -- A Concept of A Fuzzy Ideal for Multicriteria Conflict Resolution -- Appendix I: Fuzzy Set Research in People’s Republic of China -- Author
Index
ISBN:9781461337546
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical logic , Mathematics , Mathematical Logic and Foundations
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Call number:SPRINGER-1983-9781461256168:ONLINE Show nearby items on shelf
Title:Probability in Social Science Seven Expository Units Illustrating the Use of Probability Methods and Models, with Exercises, and Bibliographies to Guide Further Reading in the Social Science and Mathematics Literatures
Author(s): Samuel Goldberg
Date:1983
Size:1 online resource (120 p.)
Note:10.1007/978-1-4612-5616-8
Contents:1. A Power Index for Individuals and Coalitions -- 1.1 Introduction -- 1.2 Coalitions and characteristic function of a game -- 1.3 Shapley value to a player -- 1.4 Shapley-Shubik power index -- 1.5 Some illustrative examples -- 1.6
Applications and other measures of power -- 2. How Many People Have Ever Lived? -- 2.1 Introduction -- 2.2 A birth-death stochastic process -- 2.3 Determination of the mean population size -- 2.4 Fitting an exponential curve -- 2.5
Population data and results -- 3. Management of Research Projects -- 3.1 Introduction -- 3.2 Problem 1 -- 3.3 Problem 2 -- 3.4 Bibliographic notes -- 4. Stochastic Learning Models -- 4.1 Introduction -- 4.2 The experiment and the model
-- 4.3 Consequences of the model -- 4.4 Extensions and further reading -- 5. Glottochronology -- 5.1 Introduction -- 5.2 A “death” process for words -- 5.3 Comparing cognates in two languages -- 6. Probability Models for Mobility --
6.1 The basic BKM Markov model -- 6.2 The Stayer-Mover model -- 6.3 Further modifications -- 7. Recall From Memory -- 7.1 Introduction -- 7.2 The model -- 7.3 Outline of the analysis -- 7.4 The derivation of Pn(t) -- 7.5 Final remarks
and additional references -- Postscript. -- Index. 115
ISBN:9781461256168
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Mathematical Modeling : 1a
Keywords: Social sciences , Applied mathematics , Engineering mathematics , Game theory , Probabilities , Social Sciences , Methodology of the Social Sciences , Probability Theory and Stochastic Processes , Game Theory, Economics, Social and Behav. Sciences , Applications of Mathematics
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Call number:SPRINGER-1978-9781475701753:ONLINE Show nearby items on shelf
Title:Evaluating New Telecommunications Services
Author(s):
Date:1978
Size:1 online resource (784p p.)
Note:10.1007/978-1-4757-0175-3
Contents:Section 1 Overview of Research Issues -- User Research and Demand Research: What’s the Use? -- Technology and Structures — Man and Machine -- The Role of Telecommunications Policy Analysis in Service Planning -- Communications Policy
— The Need for Research -- Section 2 Public Services: The Delivery of Health Care -- The “Patient Trajectory”: A Modeling Tool for Planning and Evaluating Rural Telemedicine Systems -- Telehealth Care in Canada -- A Methodology for
Design of Advanced Technology-based Health Care Systems in Developing Countries -- Section 3 Public Services: Education and Community -- Educational Experiments with the Communications Technology Satellite: A Memo from Evaluators to
Planners -- Evaluations of Interactive Tele-education in the Public Service Commission -- Open Choice — New Communication Systems and Applications at the British Open University -- Serial Experimentation for the Management and
Evaluation of Communications Systems -- The Development of Two-way Cable Television: Applications for the Community -- Beyond Statistics -- Section 4 Information Services -- The Impact of Telecommunications Technologies on Informal
Communication in Science and Engineering — Research Needs and Opportunities -- Scientific Communication and Knowledge Representation -- Communications Aspects of Euronet -- Problems in Forecasting the Price and Demand for On-Line
Information Services -- The Economics and Cost Benefit of Analysis Services — The Case of Information Analysis Centers -- Technology Assessment and Idealized Design -- Section 5 Teleconferencing and Computer Conferencing -- Use and
Traffic Characteristics of Teleconferencing for Business -- Evaluation of the Potential Market for Various Future Communication Modes via an Analysis of Communication Flow Characteristics -- Learning the Limits of Teleconferencing:
Design of a Teleconference Tutorial -- Interpersonal Teleconferencing in an Organizational Context -- Organizational Communication Behavior: Description and Prediction -- Measuring the Dimensions of Interpersonal Communication --
Computer Assisted Communication in a Directorate of the Canadian Federal Government — A Pilot Study -- Exploiting the Tele- in Teleconferencing -- Section 6 New Services -- Bell System Visual Communications Systems -- The Swedish
Market for a Public Switched Multi-Purpose Broadband Network -- A Possible European System for Teleconferencing via Satellite -- Viewdata Networks -- Computerized Conferencing: A Review and Statement of Issues -- Section 7 The
Information Society -- Information Technology and Society -- Information and Communication: Is There A System? -- Information, Energy and Labour Force -- Electronic Funds Transfer in Perspective -- Section 8 Design and Planning -- The
Design of the Designing Community -- The Utility of Social Experimentation in Policy Research -- New Telecommunications Services and Regional Development: Approaches to Experimentation and Planning -- Planning Exploratory Trials of New
Interpersonal Telecommunications -- Concluding Discussion -- Policy -- Methodology
ISBN:9781475701753
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Nato Conference Series : 6
Keywords: Physics , Physics , Physics, general
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