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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Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Codice articolo G0471864250I4N01
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Da: -OnTimeBooks-, Phoenix, AZ, U.S.A.
Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail. Codice articolo OTV.0471864250.VG
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Da: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condizione: Good. Ex-library book with stickers and/or stamps throughout. Codice articolo mon0004047836
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Da: Sequitur Books, Boonsboro, MD, U.S.A.
Hardcover. Condizione: Very Good. First Edition. 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. Codice articolo 2509250022
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Da: Dorley House Books, Inc., Hagerstown, MD, U.S.A.
Hardcover. Condizione: Near Fine. Condizione sovraccoperta: Very Good. graphs, etc (illustratore). 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. Codice articolo 1253624
Quantità: 1 disponibili
Da: Studibuch, Stuttgart, Germania
hardcover. Condizione: Gut. 768 Seiten; 9780471864257.3 Gewicht in Gramm: 2. Codice articolo 973022
Quantità: 1 disponibili