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Modern Applied Statistics with S-Plus

  • Textbook
  • © 1994

Overview

Authors:
  1. W. N. Venables

    1. Department of Statistics, University of Adelaide, Adelaide, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. B. D. Ripley

    1. University of Oxford, Oxford, England

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Statistics and Computing (SCO)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • W. N. Venables, B. D. Ripley
    Pages 1-16

  3. The S Language

    • W. N. Venables, B. D. Ripley
    Pages 17-59

  4. Graphical Output

    • W. N. Venables, B. D. Ripley
    Pages 61-83

  5. Programming in S

    • W. N. Venables, B. D. Ripley
    Pages 85-120

  6. Distributions and Data Summaries

    • W. N. Venables, B. D. Ripley
    Pages 121-146

  7. Linear Statistical Models

    • W. N. Venables, B. D. Ripley
    Pages 147-181

  8. Generalized Linear Models

    • W. N. Venables, B. D. Ripley
    Pages 183-202

  9. Robust Statistics

    • W. N. Venables, B. D. Ripley
    Pages 203-222

  10. Non-linear Regression Models

    • W. N. Venables, B. D. Ripley
    Pages 223-245

  11. Modern Regression

    • W. N. Venables, B. D. Ripley
    Pages 247-266

  12. Survival Analysis

    • W. N. Venables, B. D. Ripley
    Pages 267-300

  13. Multivariate Analysis

    • W. N. Venables, B. D. Ripley
    Pages 301-328

  14. Tree-based Methods

    • W. N. Venables, B. D. Ripley
    Pages 329-347

  15. Time Series

    • W. N. Venables, B. D. Ripley
    Pages 349-382

  16. Spatial Statistics

    • W. N. Venables, B. D. Ripley
    Pages 383-396

  17. Back Matter

    Pages 397-462
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Keywords

About this book

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.

Reviews

"Anyone who seriously uses S-Plus and wishes a practical introduction to modern techniques should buy a copy" - Chance

Authors and Affiliations

  • Department of Statistics, University of Adelaide, Adelaide, Australia

    W. N. Venables

  • University of Oxford, Oxford, England

    B. D. Ripley

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