Cover; Title; Copyright; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: Single Parameter Problems; CHAPTER 3: Multiple Parameter Problems; CHAPTER 4: Linear Models and Regression; CHAPTER 5: Nonparametric Smoothing Problems; CHAPTER 6: Further Applications; CHAPTER 7: Connections and Comparisons; APPENDIX A: Review of Asymptotic Statistics; References; Author Index; Subject Index
Summary
Describes the basic development of observed confidence levels for a variety of common multiple testing problems in statistical inference. This book compares the use of observed confidence levels with other statistical methodologies such as multiple comparison and posterior probabilities
