Bayesian reliability

Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is large...

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Bibliographic Details
Main Author : Hamada, Michael S. (1955-....) (Author)
Format : Book
Language :English
Publisher :Springer, cop. 2008.
Series :Springer series in statistics,
Available online :Online Bayesian Reliability (2008)
Subjects :
Related Items :Other relationship: Bayesian Reliability / Michael S. Hamada, Alyson G. Wilson, C. Shane Reese, Harry F. Martz.

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spelling (IdRef)12762905X http://www.idref.fr/12762905X/id Hamada, Michael S. (1955-....). aut. Auteur
Bayesian reliability / Michael S. Hamada ... [et al.].
New York : Springer, cop. 2008.
1 volume (xvi-436 pages) : ill. ; 25 cm.
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Springer series in statistics, 0172-7397
Bibliogr. p. [413]-425. Index.
Bayesian Reliability presents modern methods and techniques for analyzing reliability data from a Bayesian perspective. The adoption and application of Bayesian methods in virtually all branches of science and engineering have significantly increased over the past few decades. This increase is largely due to advances in simulation-based computational tools for implementing Bayesian methods.The authors extensively use such tools throughout this book, focusing on assessing the reliability of components and systems with particular attention to hierarchical models and models incorporating explanatory variables. Such models include failure time regression models, accelerated testing models, and degradation models. The authors pay special attention to Bayesian goodness-of-fit testing, model validation, reliability test design, and assurance test planning. Throughout the book, the authors use Markov chain Monte Carlo (MCMC) algorithms for implementing Bayesian analyses--algorithms that make the Bayesian approach to reliability computationally feasible and conceptually straightforward.This book is primarily a reference collection of modern Bayesian methods in reliability for use by reliability practitioners. There are more than 70 illustrative examples, most of which utilize real-world data. This book can also be used as a textbook for a course in reliability and contains more than 160 exercises.Noteworthy highlights of the book include Bayesian approaches for the following:Goodness-of-fit and model selection methodsHierarchical models for reliability estimationFault tree analysis methodology that supports data acquisition at all levels in the treeBayesian networks in reliability analysisAnalysis of failure count and failure time data collected from repairable systems, and the assessment of various related performance criteriaAnalysis of nondestructive and destructive degradation dataOptimal design of reliability experimentsHierarchical reliability assurance testing
(IdRef)029753090 http://www.idref.fr/029753090/id Statistique bayésienne. ram
Bayesian statistical decision theory. lc
Reliability (Engineering) Statistical methods. lc
(IdRef)027832120 http://www.idref.fr/027832120/id Fiabilité Méthodes statistiques. ram
Springer series in statistics 0172-7397 (ABES)013334581
Bayesian Reliability / Michael S. Hamada, Alyson G. Wilson, C. Shane Reese, Harry F. Martz. 1st ed. 2008. New York, NY : Springer New York. (@Springer Series in Statistics) 978-0-387-77950-8 (ABES)128122730
spellingShingle Hamada, Michael S. (1955-....)
Bayesian reliability /
Statistique bayésienne
Bayesian statistical decision theory
Reliability (Engineering) Statistical methods
Fiabilité Méthodes statistiques
title Bayesian reliability /
title_auth Bayesian reliability /
title_full Bayesian reliability / Michael S. Hamada ... [et al.].
title_fullStr Bayesian reliability / Michael S. Hamada ... [et al.].
title_full_unstemmed Bayesian reliability / Michael S. Hamada ... [et al.].
title_short Bayesian reliability /
title_sort bayesian reliability
topic Statistique bayésienne
Bayesian statistical decision theory
Reliability (Engineering) Statistical methods
Fiabilité Méthodes statistiques
topic_facet Statistique bayésienne
Bayesian statistical decision theory
Reliability (Engineering) Statistical methods
Fiabilité Méthodes statistiques
work_keys_str_mv AT hamadamichaels bayesianreliability