Bayesian Reliability Analysis (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

Martz, Harry F.; Waller, Ray A.

ISBN 10: 0471864250 / ISBN 13: 9780471864257

Published by Wiley, 1982

About this Item

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.

Seller Inventory # 2509250022

Bibliographic Details

• Title: Bayesian Reliability Analysis (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)
• Publisher: Wiley
• Publication Date: 1982
• Language: English
• ISBN 10: 0471864250
• ISBN 13: 9780471864257
• Binding: Hardcover
• Edition: First Edition.
• Condition: Very Good
• Weight: 42 ounces
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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.