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Handbook of Statistical Analyses Using S-Plus
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Handbook of Statistical Analyses Using S-Plus

Handbook of Statistical Analyses Using S-Plus

Brian S. Everitt

240 pages, parution le 07/03/2002 (2eme édition)

Résumé

  • Provides clear, concise guidance for using the S-PLUS software system
  • Integrates both the command-line language and the Windows® GUI throughout the book and shows how to switch between the two
  • Includes an expanded range of data sets, many new illustrations and examples, and answers to selected exercises
  • Makes available all of the data sets and script files used in the book on the Internet at http://www.iop.kcl.ac.uk/IoP/Departments/BioComp/SPLUS.stm
Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market.

The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows® and command-line perspectives and clearly demonstrates how to switch between the two.

This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, AND S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at http://www.iop.kcl.ac.uk/IoP/Departments/BioComp/SPLUS.stm.

Contents

Preface ix
Distributors for S-PLUS xi

1 An Introduction to S-PLUS 1
2 Describing Data and Assessing Distributions: Husbands and Wives 19
3 Analysis of Variance: Poisoning Rats and Losing Weight 33
4 Multiple Regression: Technological Changes in Jet Fighters 51
5 Logistic Regression: Psychiatric Caseness and Mortgage Default 65
6 Analysing Longitudinal Data: Beating the Blues 89
7 Nonlinear Regression and Maximum Likelihood Estimation: Athletes and Geysers 107
8 Survival Analysis: Motion Sickness and Bird Survival 123
9 Exploring Multivariate Data: Male Egyptian Skulls 137
10 Cluster Analysis: Low Temperatures and Voting in Congress 155
11 Bivariate Density Estimation and Discriminant Analysis: Blood Fat Concentration 173

Appendix A The S-PLUS Language 201
Appendix B Answers to Selected Exercises 225

References 233
Index

L'auteur - Brian S. Everitt

Brian Everitt is Emeritus Professor of Statistics, King's College, London.

Caractéristiques techniques

  PAPIER
Éditeur(s) Chapman and Hall / CRC
Auteur(s) Brian S. Everitt
Parution 07/03/2002
Édition  2eme édition
Nb. de pages 240
Format 15,5 x 23,5
Couverture Broché
Poids 367g
Intérieur Noir et Blanc
EAN13 9781584882800
ISBN13 978-1-58488-280-0

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