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Applied Statistics

A Handbook of BMDP™ Analyses

  • Book
  • © 1987

Overview

Authors:
  1. E. J. Snell

    1. Department of Mathematics, Imperial College, London, UK

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Table of contents (29 chapters)

  1. Front Matter

    Pages iii-ix
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  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • E. J. Snell
      Pages 3-4

  3. BMDP programs used (or suggested) for the examples

    1. BMDP programs used (or suggested) for the examples

      • E. J. Snell
      Pages 5-6

  4. Some points on the BMDP instructions

    1. Some points on the BMDP instructions

      • E. J. Snell
      Pages 7-9

  5. Examples

    1. Front Matter

      Pages 11-11
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    2. Admissions to intensive care unit

      • E. J. Snell
      Pages 13-17

    3. Intervals between adjacent births

      • E. J. Snell
      Pages 18-21

    4. Statistical aspects of literary style

      • E. J. Snell
      Pages 22-25

    5. Temperature distribution in a chemical reactor

      • E. J. Snell
      Pages 26-30

    6. A ‘before and after’ study of blood pressure

      • E. J. Snell
      Pages 31-33

    7. Comparison of industrial processes in the presence of trend

      • E. J. Snell
      Pages 34-37

    8. Cost of construction of nuclear power plants

      • E. J. Snell
      Pages 38-49

    9. Effect of process and purity index on fault occurrence

      • E. J. Snell
      Pages 50-55

    10. Growth of bones from chick embryos

      • E. J. Snell
      Pages 56-60

    11. Factorial experiment on cycles to failure of worsted yarn

      • E. J. Snell
      Pages 61-66

    12. Factorial experiment on diets for chickens

      • E. J. Snell
      Pages 67-71

    13. Binary preference data for detergent use

      • E. J. Snell
      Pages 72-77

    14. Fertilizer experiment on growth of cauliflowers

      • E. J. Snell
      Pages 78-84

    15. Subjective preference data on soap pads

      • E. J. Snell
      Pages 85-93
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Keywords

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.

Authors and Affiliations

  • Department of Mathematics, Imperial College, London, UK

    E. J. Snell

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