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Modern Applied Statistics with S-Plus

  • W. N. Venables
  • B. D. Ripley

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. W. N. Venables, B. D. Ripley
    Pages 1-16
  3. W. N. Venables, B. D. Ripley
    Pages 17-59
  4. W. N. Venables, B. D. Ripley
    Pages 61-83
  5. W. N. Venables, B. D. Ripley
    Pages 85-120
  6. W. N. Venables, B. D. Ripley
    Pages 121-146
  7. W. N. Venables, B. D. Ripley
    Pages 147-181
  8. W. N. Venables, B. D. Ripley
    Pages 183-202
  9. W. N. Venables, B. D. Ripley
    Pages 203-222
  10. W. N. Venables, B. D. Ripley
    Pages 223-245
  11. W. N. Venables, B. D. Ripley
    Pages 247-266
  12. W. N. Venables, B. D. Ripley
    Pages 267-300
  13. W. N. Venables, B. D. Ripley
    Pages 301-328
  14. W. N. Venables, B. D. Ripley
    Pages 329-347
  15. W. N. Venables, B. D. Ripley
    Pages 349-382
  16. W. N. Venables, B. D. Ripley
    Pages 383-396
  17. Back Matter
    Pages 397-462

About this book

Introduction

S-Plus is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-Plus to perform statistical analyses and provides both an introduction to the use of S-Plus and a course in modern statistical methods. The aim of the book is to show how to use S-Plus as a powerful and graphical system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-Plus, and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets.

Keywords

Power S-Plus STATISTICA applied statistics generalized linear model linear regression programming robust statistics software statistics survival analysis time series

Authors and affiliations

  • W. N. Venables
    • 1
  • B. D. Ripley
    • 2
  1. 1.Department of StatisticsUniversity of AdelaideAdelaideAustralia
  2. 2.University of OxfordOxfordEngland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-2819-1
  • Copyright Information Springer-Verlag New York 1994
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4899-2821-4
  • Online ISBN 978-1-4899-2819-1
  • Series Print ISSN 1431-8784
  • Buy this book on publisher's site
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