
Order Statistics & Inference
Estimation Methods
- 392 pages
- English
- PDF
- Available on iOS & Android
Order Statistics & Inference
Estimation Methods
About this book
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.
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Information
Table of contents
- Front Cover
- Order Statistics and Inference: Estimation Methods
- Copyright Page
- Table of Contents
- Dedication
- Acknowledgments
- Preface
- List of Tables
- List of Figures
- Chapter 1. Introduction
- Chapter 2. Basic Theory
- Chapter 3. Moments and Other Expected Values
- Chapter 4. Linear Estimation Based on Order Statistics
- Chapter 5. Maximum Likelihood Estimation
- Chapter 6. Approximate Maximum Likelihood Estimation
- Chapter 7. Optimal Linear Estimation Based on Selected Order Statistics
- Chapter 8. Cohen–Whitten Estimators: Using Order Statistics
- Chapter 9. Estimation in Regression Models
- Chapter 10. A Sample Completion Technique for Censored Samples
- Bibliography
- Author Index
- Subject Index
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