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by Yves Tillé
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/0-387-34240-0
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edited by Stephen E. Fienberg, David C. Hoaglin
出版情報: New York, NY : Springer Science + Business Media, LLC, 2006
シリーズ名: Springer Series in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-0-387-44956-2
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by Pascal Ardilly, Yves Tillé
出版情報: New York, NY : Springer Science+Business Media, Inc., 2006
オンライン: http://dx.doi.org/10.1007/0-387-31075-4
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by Phillip I. Good
出版情報: Boston, MA : Birkhäuser Boston, 2006
オンライン: http://dx.doi.org/10.1007/0-8176-4444-X
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by David G. Kleinbaum, Mitchel Klein
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Statistics for Biology and Health ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-1742-3
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by Jean-Paul Fox
出版情報: New York, NY : Springer New York, 2010
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-0742-4
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edited by Wim J. van der Linden, Cees A.W. Glas
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-0-387-85461-8
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8.

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edited by Alina A. Davier
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-0-387-98138-3
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edited by Massimo Attanasio, Vincenza Capursi
出版情報: Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Contributions to Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-7908-2375-2
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by George T. Duncan, Mark Elliot, Juan-José Salazar-González
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-7802-8
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by Birger Madsen
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
オンライン: http://dx.doi.org/10.1007/978-3-642-17656-2
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12.

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by Irit Aitkin, Murray Aitkin
出版情報: New York, NY : Murray Aitkin and Irit Aitkin, 2011
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4419-9937-5
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by Jörg Drechsler
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Lecture Notes in Statistics ; 201
オンライン: http://dx.doi.org/10.1007/978-1-4614-0326-5
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edited by Salvatore Ingrassia, Roberto Rocci, Maurizio Vichi
出版情報: Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg, 2011
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-642-11363-5
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edited by Neil J. Dorans, Sandip Sinharay
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Lecture Notes in Statistics ; 202
オンライン: http://dx.doi.org/10.1007/978-1-4419-9389-2
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by Pierre-André Cornillon, Eric Matzner-Løber
出版情報: Paris : Springer-Verlag France S.A.R.L., 2011
シリーズ名: Collection Pratique R ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0184-1
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by Christian P. Robert, George Casella
出版情報: Paris : Springer-Verlag France S.A.R.L., 2011
シリーズ名: Collection Pratique R ;
オンライン: http://dx.doi.org/10.1007/978-2-8178-0181-0
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by Dominique Haughton, Jonathan Haughton
出版情報: New York, NY : Springer Science+Business Media, LLC, 2011
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-0385-2
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19.

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by Thomas J. Quirk
出版情報: New York, NY : Springer New York, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-3622-5
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20.

電子ブック

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by Thomas J. Quirk
出版情報: New York, NY : Springer New York, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-3637-9
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by John W. Graham
出版情報: New York, NY : Springer New York, 2012
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-4018-5
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22.

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edited by S.E. Fienberg, W.J. Linden, Herbert Hoijtink, Irene Klugkist, Paul A. Boelen
出版情報: New York, NY : Springer Science+Business Media, LLC, 2008
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-0-387-09612-4
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by M.D. Reckase
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/978-0-387-89976-3
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24.

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by Jacques A. Hagenaars, Marcel A. Croon, Wicher Bergsma
出版情報: New York, NY : Springer-Verlag New York, 2009
シリーズ名: Statistics for Social and Behavioral Sciences ;
オンライン: http://dx.doi.org/10.1007/b12532
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by Michel Lejeune
出版情報: Paris : Springer-Verlag Paris, 2010
シリーズ名: Statistique et probabilitès appliquèes ; 0
オンライン: http://dx.doi.org/10.1007/978-2-8178-0157-5
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26.

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by Hubert Gatignon
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-1270-1
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27.

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by Rand R. Wilcox
出版情報: New York, NY : Springer Science+Business Media, LLC, 2010
オンライン: http://dx.doi.org/10.1007/978-1-4419-5525-8
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28.

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by Yuelin Li, Jonathan Baron
出版情報: New York, NY : Springer Science+Business Media, LLC, 2012
シリーズ名: Use R! ;
オンライン: http://dx.doi.org/10.1007/978-1-4614-1238-0
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29.

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by Thomas W. MacFarland
出版情報: New York, NY : Thomas W. MacFarland, 2012
シリーズ名: SpringerBriefs in Statistics ; 1
オンライン: http://dx.doi.org/10.1007/978-1-4614-2134-4
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30.

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by Thomas J. Quirk
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
オンライン: http://dx.doi.org/10.1007/978-1-4614-3725-3
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目次情報: 続きを見る
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
One-Group t-Test for the Mean
Two-Group t-Test of the Difference of the Means for Independent Groups
Correlation and Simple Linear Regression
Multiple Correlation and Multiple Regression
One-Way Analysis of Variance (ANOVA)
Appendix A:  Answers to End-of-Chapter Practice Problems
Appendix B:  Practice Test
Appendix C:  Answers to Practice Test
Appendix D:  Statistical Formulas
Appendix E:  t-table
Index
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean
Random Number Generator
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing
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by Kenneth Knoblauch, Laurence T. Maloney
出版情報: New York, NY : Springer New York : Imprint: Springer, 2012
シリーズ名: Use R! ; 32
オンライン: http://dx.doi.org/10.1007/978-1-4614-4475-6
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目次情報: 続きを見る
A First Tour through R by Example
Modeling in R
Signal Detection Theory (SDT)
The Psychometric Function: Introduction
The Psychometric Function: Continuation
Classification Images
Maximum Likelihood Difference Scaling (MLDS)
Maximum Likelihood Conjoint Measurement (MLCM)
Mixed-Effect Models
Some Basics of R
Statistical Background
References
Index
A First Tour through R by Example
Modeling in R
Signal Detection Theory (SDT)
32.

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by Pier Luigi Conti, Daniela Marella
出版情報: Milano : Springer Milan : Imprint: Springer, 2012
シリーズ名: Unitext ;
オンライン: http://dx.doi.org/10.1007/978-88-470-2577-6
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33.

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by Shlomo Yitzhaki, Edna Schechtman
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Series in Statistics ; 272
オンライン: http://dx.doi.org/10.1007/978-1-4614-4720-7
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目次情報: 続きを見る
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.-  Policy Analysis Using the Decomposition of the Gini by non-marginal analysis.- Incorporating poverty in Policy Analysis - the Marginal Analysis case
Introduction to applications of the GMD and the Lorenz curve in finance
The mean-Gini portfolio and the pricing of capital assets
Applications of Gini methodology in regression analysis
Gini's multiple regressions: two approaches and their interaction
Mixed OLS, Gini and extended Gini regressions.-  An application in statistics - ANOGI
Suggestions for further research
Introduction
More Than a Dozen Alternative Ways of Spelling Gini
The Gini equivalents of the covariance, the correlation and the regression coefficient
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by William Miller
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-5740-4
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目次情報:
OPENSTAT REFERENCE MANUAL.- PREFACE.- TABLE OF CONTENTS
INTRODUCTION.- INSTALLING OPENSTAT.- STARTING OPENSTAT.- FILES.- CREATING A FILE.- ENTERING DATA.- SAVING A FILE.- DISTRIBUTIONS.- DESCRIPTIVE ANALYSES.- VERSUS Y PLOTS.- VERSUS MULTIPLE Y PLOT.- CORRELATION.- COMPARISONS.- MULTIVARIATE.- NON-PARAMETRIC.- MEASUREMENT.- STATISTICAL PROCESS CONTROL .- LINEAR PROGRAMMING.- THE ITEM BANKING PROGRAM.- NEURAL NETWORKS.- USING THE PROGRAM.- EXAMPLES
INDEX
OPENSTAT REFERENCE MANUAL.- PREFACE.- TABLE OF CONTENTS
INTRODUCTION.- INSTALLING OPENSTAT.- STARTING OPENSTAT.- FILES.- CREATING A FILE.- ENTERING DATA.- SAVING A FILE.- DISTRIBUTIONS.- DESCRIPTIVE ANALYSES.- VERSUS Y PLOTS.- VERSUS MULTIPLE Y PLOT.- CORRELATION.- COMPARISONS.- MULTIVARIATE.- NON-PARAMETRIC.- MEASUREMENT.- STATISTICAL PROCESS CONTROL .- LINEAR PROGRAMMING.- THE ITEM BANKING PROGRAM.- NEURAL NETWORKS.- USING THE PROGRAM.- EXAMPLES
INDEX
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by William Miller
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-1-4614-5743-5
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by Jeff Grover
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ; 9
オンライン: http://dx.doi.org/10.1007/978-1-4614-6040-4
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Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems
A Literature Review of Bayes’ Theorem and Bayesian Belief Networks (BBN)
Statistical Properties of Bayes’ Theorem
Bayes Belief Networks (BBN) Experimental Protocol
Manufacturing Example
Political Science Example
Gambling Example
Publicly Traded Company Default Example
Insurance Risk Levels Example
Acts of Terrorism Example
Currency Wars Example
College Entrance Exams Example
Special Forces Assessment and Selection (SFAS) One-Stage Example
Special Forces Assessment and Selection (SFAS) Two-Stage Example
Strategic Economic Decision Making: The Use of Bayesian Belief Networks (BBN) in Solving Complex Problems
A Literature Review of Bayes’ Theorem and Bayesian Belief Networks (BBN)
Statistical Properties of Bayes’ Theorem
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by Luc Pronzato, Andrej Pázman
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Lecture Notes in Statistics ; 212
オンライン: http://dx.doi.org/10.1007/978-1-4614-6363-4
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目次情報: 続きを見る
Introduction
Asymptotic designs and uniform convergence. Asymptotic properties of the LS estimator
Asymptotic properties of M, ML and maximum a posteriori estimators
Local optimality criteria based on asymptotic normality
Criteria based on the small-sample precision of the LS estimator
Identifiability, estimability and extended optimality criteria
Nonlocal optimum design
Algorithms—a survey
Subdifferentials and subgradients
Computation of derivatives through sensitivity functions
Proofs
Symbols and notation
List of labeled assumptions
References
Introduction
Asymptotic designs and uniform convergence. Asymptotic properties of the LS estimator
Asymptotic properties of M, ML and maximum a posteriori estimators
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by Richard Valliant, Jill A. Dever, Frauke Kreuter
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Statistics for Social and Behavioral Sciences ; 51
オンライン: http://dx.doi.org/10.1007/978-1-4614-6449-5
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Designing Single-stage Sample Surveys
Multistage Designs
Survey Weights and Analyses
Other Topics
Appendices
Designing Single-stage Sample Surveys
Multistage Designs
Survey Weights and Analyses
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by Sergey S. Stepanov
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Mathematical Engineering ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00071-8
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Random Events
Stochastic Equations
Mean Values
Probabilities
Stochastic Integrals
Systems of Equations
Stochastic Nature
Stochastic Society
Computer Modeling
Random Events
Stochastic Equations
Mean Values
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edited by Cristina Davino, Luigi Fabbris
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-21308-3
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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 Multi‐Item Scales for Subjective Measurement (Cristina Davino and Rosaria Romano)
Statistical Tools in the Joint Analysis of Closed and Open‐Ended Questions (Simona Balbi and Nicole Triunfo)
The Use of Self‐Anchoring Scales in Social Research: The Cantril Scale for the Evaluation of Community Action Orientation (Immacolata Di Napoli and Caterina Arcidiacono)
Part 3: Sampling Design and Error Estimation: Small Area Estimation of Poverty Indicators ( Monica Pratesi, Caterina Giusti and Stefano Marchetti)
Non‐Sampling Errors in Household Surveys: The Bank of Italy’s Experience (Giovanni D’Alessio and Giuseppe Ilardi)
Part 4: Data Integration: Enriching a Large Scale Survey from a Representative Sample by Data Fusion: Models and Validation (Tomàs Aluja‐Banet, Josep Daunis‐i‐Estadella and Yan Hong Chen)
A Business Survey on Job Vacancies: Integration with Other Sources and Calibration (Diego Bellisai, Stefania Fivizzani and Marina Sorrentino)
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 Multi‐Item Scales for Subjective Measurement (Cristina Davino and Rosaria Romano)
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by Ingwer Borg, Patrick J. F. Groenen, Patrick Mair
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: SpringerBriefs in Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-31848-1
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目次情報: 続きを見る
First Steps
The Purpose of MDS
The Goodness of an MDS Solution
Proximities
Variants of Different MDS Models
Confirmatory MDS
Typical Mistakes in MDS
MDS Algorithms
Computer Programs for MDS
First Steps
The Purpose of MDS
The Goodness of an MDS Solution
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by Hans-Jürgen Andreß, Katrin Golsch, Alexander W. Schmidt
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-32914-2
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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.-  Estimating models for panel data
Overview of subsequent chapters
Panel analysis of continuous variables: Modeling the level of Y
Modeling the change of Y.-  Conclusion and further reading
 Panel analysis of categorical variables: Modeling the level of Y: Discrete response models for panel data
Modeling the change of Y: Discrete-time event history models for panel data
Conclusion and further reading
Conclusion: How to do your own panel analysis
 A: Functions of random variables
B: Estimation and testing:  Ordinary least squares
How to compute a regression model fitting the data?- Sampling and sampling errors
How to choose between different estimation methods?- How to estimate the parameters of an unknown population with a sample of data?- How to test parameters of an unknown population with a sample of data?- Maximum likelihood
C: Web site of the textbook
Bibliography
Index
Introduction: Benefits and challenges of the panel design
Outline of the book
Audience and prerequisites
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edited by Nicola Torelli, Fortunato Pesarin, Avner Bar-Hen
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
シリーズ名: Studies in Theoretical and Applied Statistics ;
オンライン: http://dx.doi.org/10.1007/978-3-642-35588-2
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目次情報: 続きを見る
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 (Sergueï Dachian and Ilia Negri)
Archetypal Symbolic Objects (M.R. D’Esposito, F. Palumbo, G. Ragozini)
Lorenz Zonoids and Dependence Measures: A Proposal (Emanuela Raffinetti, Paolo Giudici)
Algebraic Generation of Orthogonal Fractional Factorial Designs (Roberto Fontana and Giovanni Pistone)
Part II Methods for Time Series, Spatial and Functional Data: A Functional Spatio-Temporal Model for Geometric Shape Analysis (Lara Fontanella, Luigi Ippoliti and Pasquale Valentini)
Vector Threshold Moving Average Models: Model Specification and Invertibility (Marcella Niglio, Cosimo Damiano Vitale)
A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on Environmental Data (Elvira Romano, Antonio Balzanella, and Rosanna Verde)
Spectral Decomposition of the AR Metric (Maria Iannario and Domenico Piccolo)
Nonlinear Nonstationary Model Building by Genetic Algorithms (Francesco Battaglia and Mattheos K. Protopapas)
Using the Autodependogram in Model Diagnostic Checking (Luca Bagnato and Antonio Punzo)
Part III Statistical Modelling and Data Analysis: Refined Estimation of a Light Tail: an Application to Environmental Data (M. Ivette Gomes, Lígia Henriques-Rodrigues and Frederico Caeiro)
Model-based Classification of Clustered Binary Data with Non Ignorable Missing Values (Francesco Lagona)
A Model for Correlated Paired Comparison Data (Manuela Cattelan and Cristiano Varin)
Closed Skew Normal Stochastic Frontier Models for Panel Data (Roberto Colombi)
How far can Man go? (Isabel Fraga Alves, Laurens de Haan and Cláudia Neves)
Joint Modelling of Longitudinal and Time-to-Event Data: Challenges and Future Directions (Dimitris Rizopoulos)
A Class of Linear Regression Models for Imprecise Random Elements (Renato Coppi, Maria Brigida Ferraro and Paolo Giordani)
A Model-based Dimension Reduction Approach to Classification of Gene Expression Data (Luca Scrucca and Avner Bar-Hen)
Exploiting Multivariate Outcomes in Bayesian Inference for Causal Effects With Noncompliance (Alessandra Mattei, Fabrizia Mealli and Barbara Pacini)
Fuzzy Composite Indicators: An Application for Measuring Customer Satisfaction (Sergio Zani, Maria Adele Milioli, Isabella Morlini)
Part IV Survey Methodology and Official Statistics: Symmetric Association Measures in Effect-control Sampling (Riccardo Borgoni, Piero Quatto and Donata Marasini)
Spatial Misalignment Models for Small Area Estimation: A Simulation Study (Matilde Trevisani and Alan Gelfand)
Scrambled Response Models Based on Auxiliary Variables (Giancarlo Diana and Pier Francesco Perri)
Using Auxiliary Information and Nonparametric Methods in Weighting Adjustments (Emilia Rocco)
Open Source Integer Linear Programming Solvers for Error Localization in Numerical Data (Gianpiero Bianchi, Renato Bruni, Alessandra Reale)
Integrating Business Surveys: Guidelines and Principles Based on the Belgian Experience (Maria Caterina Bramati)
Part V Social Statistics and Demography: A Measure of Poverty Based on the Rasch Model (Maria Cristiana Martini and Cristiano Vanin)
Chronic Poverty in European Mediterranean Countries (Daria Mendola and Annalisa Busetta)
Do Union Formation and Childbearing Improve Subjective Well-being? An application of Propensity Score Matching to a Bulgarian Banel (Emiliano Sironi and Francesco C. Billari)
Health and Functional Status in Elderly Patients Living in Residential Facilities in Italy (Giulia Cavrini, Claudia Di Priamo, Lorella Sicuro, Alessandra Battisti, Alessandro  Solipaca  and Giovanni de Girolamo)
Dementia in the Elderly:. Health Consequences on Household Members (Egidi V., Salvatore M.A., Gargiulo L., Iannucci L., Sebastiani G., Tinto A.)
Asset Ownership of the Elderly Across Europe: A multilevel Latent Class Analysis to Segment Countries and Households (Omar Paccagnella and Roberta Varriale)
The Longevity Pattern in Emilia Romagna, Italy: A Spatio-temporal Analysis (Giulia Roli, Rossella Miglio, Rosella Rettaroli and Alessandra Samoggia)
Material Deprivation and Incidence of Lung Cancer: A Census Block Analysis (Laura Grisotto, Dolores Catelan and Annibale Biggeri)
Mining Administrative Health Databases for Epidemiological Purposes: A Case Study on Acute Myocardial Infarctions Diagnoses (Francesca Ieva, Anna Maria Paganoni and Piercesare Secchi)
Part VI Economic Statistics and Econometrics: Fractional Integration Models for Italian Electricity Zonal Prices (Angelica Gianfreda and Luigi Grossi)
A Generalized Composite Index Based on the Non-Substitutability of Individual Indicators (Matteo Mazziotta and Adriano Pareto)
Evaluating the Efficiency of the Italian University Educational Processes Through Frontier Production Methods (Luigi Biggeri, Tiziana Laureti, Luca Secondi)
Modeling and Forecasting Realized Range Volatility (Massimiliano Caporin and Gabriel G. Velo)
Clusters and Equivalence Scales (Gustavo De Santis and Mauro Maltagliati)
The Determinants of Income Dynamics (Gustavo De Santis and Giambattista Salinari)
Benchmarking and Movement Preservation: Evidences From Real-life and Simulated Series (Tommaso Di Fonzo and Marco Marini)
Cumulation of Poverty Measures to Meet New Policy Needs (Vijay Verma, Francesca Gagliardi, Caterina Ferretti)
Long Memory in Integrated and Realized Variance (Eduardo Rossi and Paolo Santucci de Magistris)
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 (Sergueï Dachian and Ilia Negri)
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by J.P. Verma
出版情報: India : Springer India : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-81-322-0786-3
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Chapter 1: Data Management
Chapter 2: Descriptive Analysis
Chapter 3: Chi-Square test and its Application
Chapter 4: Correlation Matrix and Partial Correlation - Explaining Relationships
Chapter 5: Regression Analysis and Multiple Correlations -  For Estimating a Measurable Phenomenon
Chapter 6: Hypothesis testing for decision making
Chapter 7: One Way ANOVA - For testing the variability among group Means
Chapter 8: Two Way Analysis of Variance – For Understanding the Causes of Variations
Chapter 9:  Analysis of Covariance- To study the role of covariate in Experimental Research
Chapter 10: Cluster Analysis- For segmenting the population
Chapter 11: Application of Factor Analysis – To study the Factor Structure among Variables
Chapter 12: Application of Discriminant Analysis – For developing a classification model
Chapter 13: Logistic Regression – Developing a model for Risk Analysis
Chapter 14: Multidimensional Scaling for product positioning
Chapter 1: Data Management
Chapter 2: Descriptive Analysis
Chapter 3: Chi-Square test and its Application
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edited by Mingxiu Hu, Yi Liu, Jianchang Lin
出版情報: New York, NY : Springer New York : Imprint: Springer, 2013
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 55
オンライン: http://dx.doi.org/10.1007/978-1-4614-7846-1
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Bayesian statistics in clinical trials
High-dimensional data analysis:   Survival analysis
Adaptive designs
Statistics in Business and Finance
Biomarker analysis
Statistical genetics and genomics
Data mining and statistical learning
Bayesian statistics in clinical trials
High-dimensional data analysis:   Survival analysis
Adaptive designs
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edited by Paolo Giudici, Salvatore Ingrassia, Maurizio Vichi
出版情報: Heidelberg : Springer International Publishing : Imprint: Springer, 2013
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-00032-9
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From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
Data stream summarization by histograms clustering
Web panel representativeness
Nonparametric inference via permutation tests for CUB models
Asymmetric multidimensional scaling models for seriations
An approach to ranking the hedge funds industry
Correction of incoherences in statistical matching
The analysis of network additionality in the context of territorial innovation policy
Clustering and registration of multidimensional functional data
Classifying tourism destinations
On two classes of weighted rank correlation measures deriving from teh Spearman's r
Beanplot data analysis in a temporal framework
Supervised classification of facial expressions
Grouping around different dimensional affine subspaces
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
A new fuzzy method to classify professional profiles from job announcements
A metric based approach for the Least Square Regression of multivariate model symbolic data
A Gaussian-Von Mises Hidden Markov model for clustering multivariate linear-circular data
And further articles.
From the contents: Ordering curves by data depth
May the students' career performance helpful in predicting an increase in universities income?
Model-based classification via patterned covariance analysis
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edited by Wolfgang Gaul, Andreas Geyer-Schulz, Yasumasa Baba, Akinori Okada
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-01264-3
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目次情報:
Clustering
Analysis of Data and Models
Applications
Clustering
Analysis of Data and Models
Applications
48.

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edited by Ettore Lanzarone, Francesca Ieva
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 63
オンライン: http://dx.doi.org/10.1007/978-3-319-02084-6
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by Friedrich Pukelsheim
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
オンライン: http://dx.doi.org/10.1007/978-3-319-03856-8
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Exposing Methods: The 2009 European Parliament Elections
Imposing Constitutionality: The 2009 Bundestag Election
From Reals to Integers: Rounding Functions, Rounding Rules
Divisor Methods of Apportionment: Divide and Round
Quota Methods of Apportionment: Divide and Rank
Targeting the House Size: Discrepancy Distribution
Favoring Some at the Expense of Others: Seat Biases
Preferring Stronger Parties to Weaker Parties: Majorization
Securing System Consistency: Coherence and Paradoxes
Appraising Electoral Equality: Goodness-of-Fit Criteria
Tracing Peculiarities: Vote Thresholds and Majority Clauses
Truncating Seat Ranges: Minimum-Maximum Restrictions
Proportionality and Personalization: BWG 2013
Representing Districts and Parties: Double Proportionality
Exposing Methods: The 2009 European Parliament Elections
Imposing Constitutionality: The 2009 Bundestag Election
From Reals to Integers: Rounding Functions, Rounding Rules
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edited by Donatella Vicari, Akinori Okada, Giancarlo Ragozini, Claus Weihs
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2014
シリーズ名: Studies in Classification, Data Analysis, and Knowledge Organization ;
オンライン: http://dx.doi.org/10.1007/978-3-319-06692-9
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Time-frequency Filtering for Seismic Waves Clustering
Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement
Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919)
Estimating a Rasch Model via Fuzzy Empirical Probability Functions
Scale Reliability Evaluation for a-priori Clustered Data
An Evaluation of Performance of Territorial Services Center (TSC) by a Nonparametric Combination Ranking Method. The IQuEL Italian Project
A New Index for the Comparison of Different Measurement Scales
Asymmetries in Organizational Structures
A Generalized Additive Model for Binary Rare Events Data: an Application to Credit Defaults
The Meaning of forma in Thomas Aquinas. Hierarchical Clustering from the Index Thomisticus Treebank
The Estimation of the Parameters in Multi-Criteria Classification Problem: the Case of the Electre Tri Method
Dynamic Clustering of Financial Assets
A Comparison of  metrics for the Assessment of Relational Similarities in Affiliation Networks
Influence Diagnostics for Meta-Analysis of Individual Patient Data using Generalized Linear Mixed Models
Social Networks as Symbolic Data
Statistical Assessment for Risk Prediction of Endoleak Formation after TEVAR Based on Linear Discriminant Analysis
Fuzzy c-means for Web Mining: The Italian Tourist Forum Case
On Joint Dimension Reduction and Clustering of Categorical Data
A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web
Dynamic Customer Satisfaction and Measure of Trajectories: a Banking Case
The Analysis of Partnership Networks in Social Planning Processes
Evaluating the Effect of New Brand by Asymmetric Multidimensional Scaling
Statistical Characterization of the Virtual Water Trade Network
A Pre-Specified Blockmodeling to Analyze Structural Dynamics in Innovation Networks
The RCI as a Measure of Monotonic Dependence
A Value Added Approach in Upper Secondary Schools of Lombardy by OECD-PISA 2009 Data
Algorithmic-Type Imputation Techniques with Different Data Structures: Alternative Approaches in Comparison
Changes in Japanese EFL Learners' Proficiency: An Application of Latent Rank Theory
Robustness and Stability Analysis of Factor PD-Clustering on Large Social Data Sets
A Box-plot and Outliers Detection Proposal for Histogram Data: New Tools for Data Stream Analysis
Assessing Cooperation in Open Systems: an Empirical Test in Healthcare
Time-frequency Filtering for Seismic Waves Clustering
Modeling Longitudinal Data by Latent Markov Models with Application to Educational and Psychological Measurement
Clustering of Stratified Aggregated Data using the Aggregate Association Index: Analysis of New Zealand Voter Turnout (1893 - 1919)