Selecting and Ordering Populations
A New Statistical Methodology
Part of Classics in Applied Mathematics
- Date Published: January 1999
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
- format: Paperback
- isbn: 9780898714395
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This SIAM Classics edition is an unabridged, corrected republication of the work first published in 1977. It provides a compendium of applied aspects of ordering and selection procedures and includes tables that permit the practitioner to carry out the experiment and draw statistically justified conclusions. These tables are not readily available in other texts. Although more than 1000 papers and several books on the general theory of ranking and selection have been published since this book first appeared, the methodology is presented in a more elementary fashion, with numerous examples to help the reader apply it to a specific problem.
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×Product details
- Date Published: January 1999
- format: Paperback
- isbn: 9780898714395
- length: 596 pages
- dimensions: 228 x 153 x 31 mm
- weight: 0.79kg
- availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
Table of Contents
1. The Philosophy of Selecting and Ordering Populations
2. Selecting the One Best Population for Normal Distributions with Common Known Variance
3. Selecting the One Best Population for Other Normal Distribution Models
4. Selecting the One Best Population Bionomial (or Bernoulli) Distributions
5. Selecting the One Normal Population with the Smallest Variance
6. Selecting the One Best Category for the Multinomial Distribution
7. Nonparametric Selection Procedures
8. Selection Procedures for a Design with Paired Comparisons
9. Selecting the Normal Population with the Best Regression Value
10. Selecting Normal Populations Better than a Control
11. Selecting the t Best Out of k Populations
12. Complete Ordering of k Populations
13. Subset Selection (or Elimination) Procedures
14. Selecting the Best Gamma Population
15. Selection Procedures for Multivariate Normal Distributions
Appendix A. Tables for Normal Means Selection Problems
Appendix B. Figures for Normal Means Selection Problems
Appendix C. Table of the Cumulative Standard Normal Distribution F(z)
Appendix D. Table of Critical Values for the Chi-Square Distribution
Appendix E. Tables for Binomial Selection Problems
Appendix F. Figures for Binomial Selection Problems
Appendix G. Tables for Normal Variances Selection Problems
Appendix H. Tables for Multinomial Selection Problems
Appendix I. Curtailment Tables for the Multinomial Selection Problem
Appendix J. Tables of the Incomplete Beta Function
Appendix K. Tables for Nonparametric Selection Problems
Appendix L. Tables for Paired-Comparison Selection Problems
Appendix M. Tables for Selecting from k Normal Populations Those Better Than a Control
Appendix N. Tables for Selecting the t Best Normal Populations
Appendix O. Table of Critical Values of Fisher's F Distribution
Appendix P. Tables for Complete Ordering Problems
Appendix Q. Tables for Subset Selection Problems
Appendix R. Tables for Gamma Distribution Problems
Appendix S. Tables for Multivariate Selection Problems
Appendix T. Excerpt of Table of Random Numbers
Appendix U. Table of Squares and Square Roots
Bibliography
References for Applications
Index for Data and Examples
Name Index
Subject Index.
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