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 ... Read More
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. Read Less
Add this copy of Bayesian Reliability Analysis (Probability & to cart. $70.00, very good condition, Sold by Fair Price Book Sales rated 5.0 out of 5 stars, ships from Fairhaven, MA, UNITED STATES, published 1992 by John Wiley & Sons Inc.
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Add this copy of Bayesian Reliability Analysis (Wiley Series in to cart. $43.80, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 1982 by Wiley.
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Very Good. Size: 9x6x1; Hardcover and dust jacket. Good binding and cover. Shelf wear. Corners bumped. Some foxing to jacket. Owner's name stamped on edges and end pages. xix, 745 pages: illustrations; 24 cm. Bayesian reliability analysis is a statistical approach to assessing the probability of a system or component's survival over time, using Bayes's rule to combine prior knowledge with observed data to create an updated (posterior) probability distribution of its reliability. It is particularly useful when testing resources are limited, as it allows for the incorporation of subjective expertise, prior information, or data from other sources to improve reliability predictions.
Add this copy of Bayesian Reliability Analysis (Wiley Series in to cart. $75.00, very good condition, Sold by Dorley House Books rated 4.0 out of 5 stars, ships from Hagerstown, MD, UNITED STATES, published 1982 by John Wiley & Sons, Inc.
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graphs, etc. Near Fine in Very Good jacket. 2nd Printing. 8vo. pp. 745. dj w/lite wear only, in mylar; black c w/gilt titles on red; printed end papers; 745 clean, unmarked pages/index...Bayesian Reliability Analysis is a statistical approach that combines prior information-such as expert opinion or historical data-with current test data using Bayes' theorem to determine the reliability of components or systems.
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