
Ebook Info
- Published: 2003
- Number of pages: 458 pages
- Format: PDF
- File Size: 4.59 MB
- Authors: Herbert A. David
Description
This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions. Furthermore, it develops the distribution theory of OS systematically. Applications include procedures for the treatment of outliers and other data analysis techniques. Even when chapter and section headings are the same as in OSII, there are appreciable changes, mostly additions, with some obvious deletions. Parts of old Ch. 7, for example, are prime candidates for omission. Appendices are designed to help collate tables, computer algorithms, and software, as well as to compile related monographs on the subject matter. Extensive exercise sets will continue, many of them replaced by newer ones.
User’s Reviews
Editorial Reviews: Review “…Order Statistics will continue to be the most valuable source of reference for students and researchers alike.” (Journal of the American Statistical Association, September 2004) “This book will be a useful addition to the library of any statistician. It is also a useful guide for students whose interest involves order statistics.” (Technometrics, August 2004, Vol. 46, No. 3)”…continues to be both the textbook and guide to the research literature…the authors present in detail an up-to-date account of…the basic results of the subject of order statistics.” (Mathematical Reviews, 2004f)“…an up-to-date account of the basic results of the subject…” (Quarterly of Applied Mathematics, Vol. LXII, No. 1, March 2004) From the Inside Flap 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 orderings * Characterizations * Distribution-free prediction intervals * Bootstrap estimations * Moving order statistics * Studentized range * Ranked-set sampling * Estimators 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. From the Back Cover 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 orderings * Characterizations * Distribution-free prediction intervals * Bootstrap estimations * Moving order statistics * Studentized range * Ranked-set sampling * Estimators 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. About the Author 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. Read more
Reviews from Amazon users which were colected at the time this book was published on the website:
⭐The authors do a nice job covering a broad range of topics. There are often references to literature to fill in all details so it is definitely a book that is read with a pencil in hand.Though it is beyond the control of the authors, the bookbinding left a little to be desired. Several pages came out easily. Given the cost of the book, a little more work on the binding would have been nice.
⭐This is a well-written, well-organized book. As mentioned in the preface, “the writing is at an intermediate level, presupposing on the reader’s part the usual basic background in statistical theory and applications. Some portions of the book, are, however, quite elementary, whereas others, particularly in Chapters 4 and 9, are rather more advances.”
⭐unless you alreadly have a working knowledge oforder statistics, this will be an unrewardingread — very old fashioned and stodgy style –too bad, the subject deserves better
⭐
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