We all like to know how reliable and how risky certain situationsare, and our increasing reliance on technology has led to the needfor more precise assessments than ever before. Such precision hasresulted in efforts both to sharpen the notions of risk andreliability, and to quantify them. Quantification is required fornormative decision-making, especially decisions pertaining to oursafety and wellbeing. Increasingly in recent years Bayesian methodshave become key to such quantifications.
Reliability and Risk provides a comprehensive overview ofthe mathematical and statistical aspects of risk and reliabilityanalysis, from a Bayesian perspective. This book sets out to changethe way in which we think about reliability and survival analysisby casting them in the broader context of decision-making.This is achieved by:
* Providing a broad coverage of the diverse aspects ofreliability, including: multivariate failure models, dynamicreliability, event history analysis, non-parametric Bayes,competing risks, co-operative and competing systems, and signatureanalysis.
* Covering the essentials of Bayesian statistics andexchangeability, enabling readers who are unfamiliar with Bayesianinference to benefit from the book.
* Introducing the notion of "composite reliability",or the collective reliability of a population of items.
* Discussing the relationship between notions of reliability andsurvival analysis and econometrics and financial risk.
Reliability and Risk can most profitably be used bypractitioners and research workers in reliability and survivabilityas a source of information, reference, and open problems. It canalso form the basis of a graduate level course in reliability andrisk analysis for students in statistics, biostatistics,engineering (industrial, nuclear, systems), operations research,and other mathematically oriented scientists, wherein theinstructor could supplement the material with examples andproblems.
Nozer D. Singpurwalla
Bayesian Analysis Bayes-Verfahren Biostatistics Biostatistik Electrical & Electronics Engineering Elektrotechnik u. Elektronik Engineering Statistics Qualität u. Zuverlässigkeit Quality & Reliability Statistics Statistik Statistik in den Ingenieurwissenschaften
"The book is written by an expert in reliability analysis and it isa very valuable source of information for mathematical models forreliability problems ... An extensive bibliography concludes thebook." (Stat Papers, 2011)
"As the author mentions in his preface, the book can be read inseveral different ways, as a text for a graduate level course onreliability or as a source book for "information and openproblems." This book has been a joy to read for this reviewer."(International Statistical Review, August 2008)
"Singpurwalla seems to be at his best in probabilistic modelingof reality. He has written what must be one of the first booksreliability written from a subjective, Bayesian point of view."(International Statistical Review, August 2008)
"The material of this book will be most profitable forpractitioners and researchers in reliability and survivability, whowill greatly appreciate it as a source of information and openproblems." (Mathematical Reviews, 2008h)
"This is a very interesting, provocative, and worthwhile book."(Biometrics, June 2008)
"What I liked most about this book, however, is the way itblends interesting technical material with foundational discussionabout the nature of uncertainty." (Biometrics, June2008)
"The investigation of the theoretical models under considerationin the book is first class..." (Law, Probability and RiskAdvance Access, September 2007)
"I feel that I have learned an effective plotting technique fromthese plots..." (Technometrics, February 2008)
"...a cornucopia of probability models and inference methodsfor different problems...[that] serve as a rich taxonomy thatstatisticians can use to fit models...works as both aneducational tool and as a reference." (MAA Reviews, March 6,2007)
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