Bayesian reliability analysis

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Wiley, May 14, 1982 - Mathematics - 745 pages
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A comprehensive collection of and introduction to the major advances in Bayesian reliability analysis techniques developed during the last two decades, in textbook form. Focuses primary attention on the exponential, Weibull, normal, log normal, inverse Gaussian, and gamma failure time distributions, as well as the binomial, Pascal, and Poisson sampling models. Noninformative and natural conhugate prior distributions are emphasized, although other classes or prior distributions are also often considered. Background chapters on probability, statistics, and classical reliability analysis methods are also included.

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Contents

Introduction
1
Elements of Statistics
37
Elements of Reliability
76
Copyright

17 other sections not shown

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