Bayesian Reliability Assessment Based on Dirichlet Prior Information

Abstract:

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To resolve the reliability assessment of the large-sized complex products under small samples, with the aid of the Dirichlet prior distribution and Bayesian theory, a new method is proposed in this paper. The method can fully apply Dirichlet prior information and test data to estimate the reliabilities of the products, and forecasting the success times during the products test. Compared other methods, it is simple, direct, solid, and high-effective. The investigations show that the method is quit handy and effective.

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Edited by:

Yanwen Wu

Pages:

1147-1151

DOI:

10.4028/www.scientific.net/AMR.108-111.1147

Citation:

H. S. Su "Bayesian Reliability Assessment Based on Dirichlet Prior Information", Advanced Materials Research, Vols. 108-111, pp. 1147-1151, 2010

Online since:

May 2010

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Price:

$35.00

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