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Reliability: Modeling, Prediction, and Optimization

ISBN: 978-0-471-18450-8
Hardcover
850 pages
March 2000
List Price: US $209.00
Government Price: US $144.60
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This book provides a comprehensive overview of both qualitative and quantitative aspects of reliability. Mathematical and statistical concepts related to reliability modeling and analysis are presented along with important bibliography and a listing of resources which includes journals, reliability standards, other publications, and databases. The coverage of individual topics is not always deep, but this should be a valuable reference for any engineer or statisticial working in reliability. (Short Book Reviews, Vol.20, No. 3, December 2000)
"...this should be a valuable reference for any engineer or statistician working in reliability." (Short Book Reviews, Vol. 20, No. 3, December 2000)
This book presents a remarkably broad framework for the analysis of the technical and commercial aspects of product reliability.... Written by two highly respected experts in the field, this practical work provides engineers, operations managers, and applied statisticians with both qualitative and quantitative tools for solving a variety of complex, real-world reliability problems. (Zentralblatt Math, Volume 945, No 20, 2000)
"...a comprehensive overview..." (Short Book Reviews, December 2000)
"...an excellent textbook for an advanced course in biostatistics and also an indispensable reference for biostatisticians and epidemiologists" (Short Book Reviews, December 2000)
"...an excellent book, distinguished by excellence of exposition, breadth and comprehensiveness of topical overage, relevance, number and importance of examples, depth of references, and quality of exercises...will become one of the standard references on reliability...so comprehensive...it would provide material for more than a two-semester graduate sequence...will find a warm welcome in the best graduate programs. I strongly recommend it." (Technometrics, Vol. 43, No. 4, November 2001)
"I would recommend this book to practitioners and as a graduate level book." (Journal of the American Statistical Association, December 2001)

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