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1. Sampling Algorithms
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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2. Sampling Methods : Exercises and Solutions
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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3. New Perspectives in Statistical Modeling and Data Analysis : Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9 - 11, 2009
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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4. Régression avec R
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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5. Méthodes de Monte-Carlo avec R
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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6. Excel 2007 for Social Science Statistics : A Guide to Solving Practical Problems
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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7. Excel 2010 for Social Science Statistics : A Guide to Solving Practical Problems
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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8. Excel 2007 for Educational and Psychological Statistics : A Guide to Solving Practical Problems
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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9. Modeling Psychophysical Data in R
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)
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10. Campionamento da popolazioni finite : Il disegno campionario
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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