Order Statistics

A completely revised and expanded edition of a classic resource
In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja return with a completely revised and updated Order Statistics, Third Edition.
Chapters two through nine of this comprehensive volume deal with finite–sample theory, with individual topics grouped under distribution theory (chapters two through six) and statistical inference (chapters seven through nine). Chapters ten and eleven cover asymptotic theory for central, intermediate, and extreme order statistics, representing twice the coverage of this subject than the previous edition. New sections include:Stochastic orderingsCharacterizationsDistribution–free prediction intervalsBootstrap estimationsMoving order statisticsStudentized rangeRanked–set samplingEstimators of tail index
The authors further explain application procedures for many data–analysis techniques and quality control. An appendix provides a guide to related tables and computer algorithms. Extensive exercise sets have been updated since the last edition. In spite of many eliminations, the total number of references has increased from 1,000 to 1,500.
Expanded coverage of shortcut methods, robust estimation, life testing, reliability, L–statistics, and extreme–value theory complete this one–of–a–kind resource. Students and researchers of order statistics will appreciate this updated and thorough edition.

Spis treści:
Preface.
1. Introduction.
2. Basic Distribution Theory.
3. Expected Values and Moments.
4. Bounds and Approximations for Moments of Order Statistics.
5. The NON –IID Case.
6. Further Distribution Theory.
7. Order Statistics in Nonparametric Inference.
8. Order Statistics in Parametric Inference.
9. Short–Cut Procedures.
10. Asymptotic Theory.
11. Asymptotic Results for Functions of Order Statistics.
Appendix: Guide to Tables and Algorithms.
References.
Index.

Nota biograficzna:
H. A. DAVID, PhD, is a Distinguished Professor Emeritus in the Department of Statistics at Iowa State University. He has authored over 100 publications, including the Second Edition of Order Statistics.
H. N. NAGARAJA, PhD, is a professor in the Departments of Statistics and Internal Medicine at The Ohio State University. He coedited, along with P. K. Sen and D. F. Morrison, Statistical Theory and Applications: Papers in Honor of H. A. David, and coauthored, along with B. C. Arnold and N. Balakrishnan, Records.

Okładka tylna:
A completely revised and expanded edition of a classic resource
In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja return with a completely revised and updated Order Statistics, Third Edition.
Chapters two through nine of this comprehensive volume deal with finite–sample theory, with individual topics grouped under distribution theory (chapters two through six) and statistical inference (chapters seven through nine). Chapters ten and eleven cover asymptotic theory for central, intermediate, and extreme order statistics, representing twice the coverage of this subject than the previous edition. New sections include:Stochastic orderingsCharacterizationsDistribution–free prediction intervalsBootstrap estimationsMoving order statisticsStudentized rangeRanked–set samplingEstimators of tail index
The authors further explain application procedures for many data–analysis techniques and quality control. An appendix provides a guide to related tables and computer algorithms. Extensive exercise sets have been updated since the last edition. In spite of many eliminations, the total number of references has increased from 1,000 to 1,500.
Expanded coverage of shortcut methods, robust estimation, life testing, reliability, L–statistics, and extreme–value theory complete this one–of–a–kind resource. Students and researchers of order statistics will appreciate this updated and thorough edition.