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1.

電子ブック

EB
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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2.

電子ブック

EB
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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3.

電子ブック

EB
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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4.

電子ブック

EB
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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5.

電子ブック

EB
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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6.

電子ブック

EB
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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7.

電子ブック

EB
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
8.

電子ブック

EB
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)
9.

電子ブック

EB
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
10.

電子ブック

EB
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