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Book Cover for: Bayesian Reliability, Michael S. Hamada

Bayesian Reliability

Michael S. Hamada

Reliability concepts.- Bayesian inference.- Advanced Bayesian modeling and computational methods.- Component reliability.- System reliability.- Repairable system reliability.- Regression models in reliability.- Using degradation data to assess reliability.- Planning for reliability data collection.- Assurance testing.- Acroyms and abbreviations.- Special functions and probability distributions.- References.

Book Details

  • Publisher: Springer
  • Publish Date: Nov 10th, 2010
  • Pages: 436
  • Language: English
  • Edition: 2008 - undefined
  • Dimensions: 9.21in - 6.14in - 0.92in - 1.40lb
  • EAN: 9781441926739
  • Categories: Probability & Statistics - Bayesian AnalysisAppliedQuality Control

Praise for this book

From the reviews:

"This book is written to provide a reference collection of modern Bayesian methods in reliability. Since all of the chapters include exercises, it could be used as the basis for an undergraduate or graduate course in reliability.... it provides a more concrete view of reliability with worked out examples. It does not require any background in Bayesian thinking from the reader--all that is required is a basic knowledge of probability and applied statistics.... I recommend this book to any reader who wishes to learn about the practical application of Bayesian thinking in reliability." (James H. ALBERT, JASA , June 2009, VOl.104, No. 486)

"Readership: Reliability practitioners, Bayesian researchers in reliability. The book may also be used as a textbook for a course for advanced undergraduates or graduate students ... . This is a very well written Bayesian book on reliability with almost encyclopedic coverage. ... Given the strengths of the book in both coverage and detailed modeling of reliability based on many different kinds of data ... the book makes a major contribution to the literature on reliability." (Jayanta K. Ghosh, International Statistical Review, Vol. 77 (3), 2009)

"This is both a reference and a very complete textbook on Bayesian reliability. ... The sequence of the topics is very logical and well organized. Starting from basics allows the use of the book by engineers and readers without previous knowledge of statistics ... ." (Mauro Gasparini, Zentralblatt MATH, Vol. 1165, 2009)

"The authors give the reader a thorough statistical understanding of lifetime or failure time analysis of products or systems. ... This book brings to the reader a collection of modern Bayesian statistical methods for use in reliability and lifetime analysis for practitioners, but can serve also as a textbook for an undergraduate or graduate course in reliability. In the book are 70 illustrative examples with anadditional 165 exercises down-loadable from a reference website and are accompanied by a solution manual." (Adriana Horníková, Technometrics, Vol. 51 (4), November, 2009)