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Reliability and Risk (eBook)

A Bayesian Perspective
eBook Download: PDF
2006
John Wiley & Sons (Verlag)
978-0-470-06033-9 (ISBN)

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Reliability and Risk - Nozer D. Singpurwalla
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We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications.

Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by:

  • Providing a broad coverage of the diverse aspects of reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametric Bayes, competing risks, co-operative and competing systems, and signature analysis.
  • Covering the essentials of Bayesian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference 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 and survival analysis and econometrics and financial risk.

Reliability and Risk can most profitably be used by practitioners and research workers in reliability and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations research, and other mathematically oriented scientists, wherein the instructor could supplement the material with examples and problems.



Nozer D. Singpurwalla is the author of Reliability and Risk: A Bayesian Perspective, published by Wiley.


We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and reliability, and to quantify them. Quantification is required for normative decision-making, especially decisions pertaining to our safety and wellbeing. Increasingly in recent years Bayesian methods have become key to such quantifications. Reliability and Risk provides a comprehensive overview of the mathematical and statistical aspects of risk and reliability analysis, from a Bayesian perspective. This book sets out to change the way in which we think about reliability and survival analysis by casting them in the broader context of decision-making. This is achieved by: Providing a broad coverage of the diverse aspects of reliability, including: multivariate failure models, dynamic reliability, event history analysis, non-parametric Bayes, competing risks, co-operative and competing systems, and signature analysis. Covering the essentials of Bayesian statistics and exchangeability, enabling readers who are unfamiliar with Bayesian inference 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 and survival analysis and econometrics and financial risk. Reliability and Risk can most profitably be used by practitioners and research workers in reliability and survivability as a source of information, reference, and open problems. It can also form the basis of a graduate level course in reliability and risk analysis for students in statistics, biostatistics, engineering (industrial, nuclear, systems), operations research, and other mathematically oriented scientists, wherein the instructor could supplement the material with examples and problems.

Nozer D. Singpurwalla is the author of Reliability and Risk: A Bayesian Perspective, published by Wiley.

"The book is written by an expert in reliability analysis and it is
a very valuable source of information for mathematical models for
reliability problems ... An extensive bibliography concludes the
book." (Stat Papers, 2011)

"As the author mentions in his preface, the book can be read in
several different ways, as a text for a graduate level course on
reliability or as a source book for "information and open
problems." 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 modeling
of reality. He has written what must be one of the first books
reliability written from a subjective, Bayesian point of view."
(International Statistical Review, August 2008)

"The material of this book will be most profitable for
practitioners and researchers in reliability and survivability, who
will greatly appreciate it as a source of information and open
problems." (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 it
blends interesting technical material with foundational discussion
about the nature of uncertainty." (Biometrics, June
2008)

"The investigation of the theoretical models under consideration
in the book is first class..." (Law, Probability and Risk
Advance Access, September 2007)

"I feel that I have learned an effective plotting technique from
these plots..." (Technometrics, February 2008)

"...a cornucopia of probability models and inference methods
for different problems...[that] serve as a rich taxonomy that
statisticians can use to fit models...works as both an
educational tool and as a reference." (MAA Reviews, March 6,
2007)

Erscheint lt. Verlag 14.8.2006
Reihe/Serie Wiley Series in Probability and Statistics
Wiley Series in Probability and Statistics
Wiley Series in Probability and Statistics
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik Maschinenbau
Schlagworte Account • action • Applications • author • Bayesian • Bayesian analysis • Bayes-Verfahren • Best • Biostatistics • Biostatistik • bookwell • clear • coherently • Concepts • Coverage • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Engineering statistics • exceptionally • F • Perspective • Principles • Problems • Qualität u. Zuverlässigkeit • Qualität u. Zuverlässigkeit • Quality & Reliability • Reliability • Statistics • Statistik • Statistik in den Ingenieurwissenschaften • Studies • Subject • theoreticians • Value • wideranging • wonderful
ISBN-10 0-470-06033-6 / 0470060336
ISBN-13 978-0-470-06033-9 / 9780470060339
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