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 ...
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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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Seller's Description:
Book. Octavo; Reprint edition 1991 with corrections; G; Hardcover; Spine, brown with gold print; Boards in brown cloth, clean and strong; Text block has spotting to top edge, highlighting and ink notation through p. 56, else clean and tight; xix, 745 pages. NOTE: Shelved in Netdesk office, Case #5. 1331407. FP New Rockville Stock.
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Seller's Description:
Fine in Fine dust jacket. 0471864250. Wiley Series In Probability And Statistics-Applied Probability And Statistics Section; 8vo 8"-9" tall; 745 pages.
