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Statistical Analysis and Data Display

An Intermediate Course with Examples in S-Plus, R, and SAS

  • Richard M. Heiberger
  • Burt Holland

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Richard M. Heiberger, Burt Holland
    Pages 1-9
  3. Richard M. Heiberger, Burt Holland
    Pages 11-19
  4. Richard M. Heiberger, Burt Holland
    Pages 21-62
  5. Richard M. Heiberger, Burt Holland
    Pages 63-89
  6. Richard M. Heiberger, Burt Holland
    Pages 91-112
  7. Richard M. Heiberger, Burt Holland
    Pages 123-153
  8. Richard M. Heiberger, Burt Holland
    Pages 155-185
  9. Richard M. Heiberger, Burt Holland
    Pages 187-213
  10. Richard M. Heiberger, Burt Holland
    Pages 215-266
  11. Richard M. Heiberger, Burt Holland
    Pages 267-296
  12. Richard M. Heiberger, Burt Holland
    Pages 297-327
  13. Richard M. Heiberger, Burt Holland
    Pages 329-379
  14. Richard M. Heiberger, Burt Holland
    Pages 381-427
  15. Richard M. Heiberger, Burt Holland
    Pages 429-485
  16. Richard M. Heiberger, Burt Holland
    Pages 487-510
  17. Richard M. Heiberger, Burt Holland
    Pages 511-526
  18. Richard M. Heiberger, Burt Holland
    Pages 527-563
  19. Richard M. Heiberger, Burt Holland
    Pages 565-622
  20. Back Matter
    Pages 623-730

About this book

Introduction

This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings—for all the methods they cover. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how accompanying traditional tabular results are used to confirm the visual impressions derived directly from the graphs. Many of the graphical formats are novel and appear here for the first time in print. All chapters have exercises.

This book can serve as a standalone text for statistics majors at the master's level and for other quantitatively oriented disciplines at the doctoral level, and as a reference book for researchers. In-depth discussions of regression analysis, analysis of variance, and design of experiments are followed by introductions to analysis of discrete bivariate data, nonparametrics, logistic regression, and ARIMA time series modeling. The authors illustrate classical concepts and techniques with a variety of case studies using both newer graphical tools and traditional tabular displays.

The authors provide and discuss S-Plus, R, and SAS executable functions and macros for all new graphical display formats. All graphs and tabular output in the book were constructed using these programs. Complete transcripts for all examples and figures are provided for readers to use as models for their own analyses.

Richard M. Heiberger and Burt Holland are both Professors in the Department of Statistics at Temple University and elected Fellows of the American Statistical Association. Richard M. Heiberger participated in the design of the S-Plus linear model and analysis of variance commands while on research leave at Bell Labs in 1987–88 and has been closely involved as a beta tester and user of S-Plus. Burt Holland has made many research contributions to linear modeling and simultaneous statistical inference, and frequently serves as a consultant to medical investigators. Both teach the Temple University course sequence that inspired them to write this text.

Keywords

ANOVA Binomial distribution Excel Logistic Regression Probability distribution Regression analysis SAS Time series Variance analysis of variance coding linear regression statistical software

Authors and affiliations

  • Richard M. Heiberger
    • 1
  • Burt Holland
    • 1
  1. 1.Department of StatisticsTemple UniversityPhiladelphiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-4284-8
  • Copyright Information Springer-Verlag New York 2004
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-2320-2
  • Online ISBN 978-1-4757-4284-8
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site
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