Audience This book can serve as a text for a graduate topics course in ranking and selection (as it has done at Purdue University for more than 30 years). It will also serve as a valuable reference for researchers and practitioners in various fields, such as agriculture, industry, engineering, and behavioral sciences.
Contents Preface to the Classics Edition; Preface; List of Abbreviations and Symbols; Chapter 1: Introduction; Part I: Indifference Zone Formulation. Chapter 2. Ranking of Normal Populations; Chapter 3: Some Optimum Properties of Fixed Subset Size Selection Rules; Chapter 4: Ranking and Selection Problems for Discrete Distributions; Chapter 5: Selection from Univariate Populations, Optimum Sampling, and Estimation of Probability of Correct Selection; Chapter 6: Sequential Selection Procedures; Chapter 7: Selection from Multivariate Populations; Chapter 8: Nonparametric Selection Procedures; Chapter 9: Fixed-Size Subset Selection: A Generalized Goal and Other Modifications; Chapter 10: Bayesian Selection and Ranking Procedures; Part II: Subset Selection Formulation. Chapter 11: Subset Selection: General Theory; Chapter 12: Selection from Univariate Continuous Populations; Chapter 13: Selection from Discrete Populations; Chapter 14: Selection from Multivariate Normal Populations; Chapter 15: Nonparametric Procedures; Chapter 16: Selection from Restricted Families of Probability Distributions; Chapter 17: Sequential Procedures; Chapter 18: Bayes, Empirical Bayes, and G-Minimax Procedures; Chapter 19: Some Modified Formulations and Other Related Problems; Part III: Comparison with a Control, Estimation, and Related Topics. Chapter 20: Comparison of Several Populations with a Standard or a Control; Chapter 21: Estimation of Ordered Parameters; Chapter 22: General Theory of Some Multiple-Decision Problems and Some Miscellaneous Topics; Chapter 23: Guide to Tables; Chapter 24: Illustrative Examples; Bibliography; Related References; Monographs, Books and Special Issues of Journals Devoted Fully or Partially to Ranking and Selection Problems; Author Index; Subject Index.