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Selecting and Ordering Populations

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.

  • Authors

    Jean Dickinson Gibbons

    Ingram Olkin

    Milton Sobel

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