Applied Statistics

A Handbook of BMDP™ Analyses

  • E. J. Snell

Table of contents

  1. Front Matter
    Pages iii-ix
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. E. J. Snell
      Pages 3-4
  3. BMDP programs used (or suggested) for the examples

  4. Some points on the BMDP instructions

    1. E. J. Snell
      Pages 7-9
  5. Examples

    1. Front Matter
      Pages 11-11
    2. E. J. Snell
      Pages 13-17
    3. E. J. Snell
      Pages 18-21
    4. E. J. Snell
      Pages 22-25
    5. E. J. Snell
      Pages 56-60
    6. E. J. Snell
      Pages 85-93
    7. E. J. Snell
      Pages 94-97
    8. E. J. Snell
      Pages 104-110
    9. E. J. Snell
      Pages 115-120
    10. E. J. Snell
      Pages 127-131
    11. E. J. Snell
      Pages 132-135
    12. E. J. Snell
      Pages 136-141
    13. E. J. Snell
      Pages 142-150
  6. Further Sets of Data

    1. Front Matter
      Pages 151-151
    2. E. J. Snell
      Pages 153-161
    3. E. J. Snell
      Pages 162-166
  7. Back Matter
    Pages 167-171

About this book


This handbook is a realization of a long term goal of BMDP Statistical Software. As the software supporting statistical analysis has grown in breadth and depth to the point where it can serve many of the needs of accomplished statisticians it can also serve as an essential support to those needing to expand their knowledge of statistical applications. Statisticians should not be handicapped by heavy computation or by the lack of needed options. When Applied Statistics, Principle and Examples by Cox and Snell appeared we at BMDP were impressed with the scope of the applications discussed and felt that many statisticians eager to expand their capabilities in handling such problems could profit from having the solutions carried further, to get them started and guided to a more advanced level in problem solving. Who would be better to undertake that task than the authors of Applied Statistics? A year or two later discussions with David Cox and Joyce Snell at Imperial College indicated that a wedding of the problem statements and suggested solutions with control language to accomplish these analyses would further the learning process for many statisticians. They were willing to undertake the project. Joyce Snell has done an excellent job of melding the two approaches and has carried many of the problems a step further by suggesting alternate approaches and follow-up analyses.


Excel applied statistics growth statistical software statistics

Authors and affiliations

  • E. J. Snell
    • 1
  1. 1.Department of MathematicsImperial CollegeLondonUK

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 1987
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-412-28410-6
  • Online ISBN 978-94-011-6946-2
  • Buy this book on publisher's site
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