Paper Title:
Bayesian Reliability Assessment Based on Dirichlet Prior Information
  Abstract

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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