Advances in Ranking and Selection, Multiple Comparisons, and Reliability / Statistics for Industry and Technology (PDF)
S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty...
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S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these fields and form a tribute to Panchapakesan's influence and impact on these areas.
Thematically organized, the chapters cover a broad range of topics from:
* Inference
* Ranking and Selection
* Multiple Comparisons and Tests
* Agreement Assessment
* Reliability
* Biostatistics
Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities.
- 2007, 2005, 412 Seiten, Englisch
- Herausgegeben: N. Balakrishnan, Nandini Kannan, H. N. Nagaraja
- Verlag: Springer Basel AG
- ISBN-10: 0817644229
- ISBN-13: 9780817644222
- Erscheinungsdatum: 28.12.2007
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- Größe: 20 MB
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From the reviews:
"Thematically organised, the chapters cover a broad range of topics from: inference, ranking and selection, multiple comparisons and tests, agreement assessment, reliability, biostatistics. Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities." —Bulletin Bibliographique
"This book is written in the honor of S. Panchapakesan, whose significant contributions belong to the area of ranking and selection. … The book addresses to a graduate reader … . all of the methods are illustrated by many examples from medicine and engineering. Generally the data sets are taken from real-life." (Liliana Popa, Iasi Polytechnic Magazine, Vol. 18 (1/4), 2006)
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