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Order Statistics and Inference. Estimation Methods

✍ Scribed by N. Balakrishnan and A. Clifford Cohen (Auth.)


Publisher
Academic Press
Year
1991
Tongue
English
Leaves
384
Series
Statistical Modeling and Decision Science
Category
Library

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✦ Synopsis


The literature on order statistics and inferenc eis quite extensive and covers a large number of fields ,but most of it is dispersed throughout numerous publications. This volume is the consolidtion of the most important results and places an emphasis on estimation. Both theoretical and computational procedures are presented to meet the needs of researchers, professionals, and students. The methods of estimation discussed are well-illustrated with numerous practical examples from both the physical and life sciences, including sociology,psychology,a nd electrical and chemical engineering. A complete, comprehensive bibliography is included so the book can be used both aas a text and reference

✦ Table of Contents


Content:
STATISTICAL MODELING AND DECISION SCIENCE, Page ii
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
Acknowledgments, Page xi
Preface, Pages xiii-xiv
List of Tables, Pages xv-xviii
List of Figures, Page xix
Chapter 1 - Introduction, Pages 1-5
Chapter 2 - Basic Theory, Pages 7-20
Chapter 3 - Moments and Other Expected Values, Pages 21-72
Chapter 4 - Linear Estimation Based on Order Statistics, Pages 73-120
Chapter 5 - Maximum Likelihood Estimation, Pages 121-159
Chapter 6 - Approximate Maximum Likelihood Estimation, Pages 161-213
Chapter 7 - Optimal Linear Estimation Based on Selected Order Statistics, Pages 215-271
Chapter 8 - Cohen–Whitten Estimators: Using First Order Statistics, Pages 273-297
Chapter 9 - Estimation in Regression Models, Pages 299-328
Chapter 10 - A Sample Completion Technique for Censored Samples, Pages 329-340
Bibliography, Pages 341-366
Author Index, Pages 367-371
Subject Index, Pages 373-377
STATISTICAL MODELING AND DECISION SCIENCE, Page 378


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