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Full Description
Written in a simple style that requires no advanced mathematical or statistical background, A First Course in Order Statistics introduces the general theory of order statistics and their applications. The book covers topics such as distribution theory for order statistics from continuous and discrete populations, moment relations, bounds and approximations, order statistics in statistical inference and characterization results, and basic asymptotic theory.
This classic text will aid readers in understanding much of the current literature on order statistics, a burgeoning field of study that is a requisite for any practicing statistician and an essential part of the training for students in statistics. The authors have updated the text with suggestions for further reading that readers may use for self-study.
Contents
Preface to the Classics Edition
Further Reading
Preface
Acknowledgments
Notations and Abbreviations
Errata
Chapter 1: Introduction and Preview
Chapter 2: Basic Distribution Theory
Chapter 3: Discrete Order Statistics
Chapter 4: Order Statistics from Some Specific Distributions
Chapter 5: Moment Relations, Bounds, and Approximations
Chapter 6: Characterizations Using Order Statistics
Chapter 7: Order Statistics in Statistical Inference
Chapter 8: Asymptotic Theory
Chapter 9: Record Values
Bibliography
Author Index
Subject Index.
