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Bayesian Analysis for the Poly-Weibull Distribution
James O. Berger and Dongchu Sun
Journal of the American Statistical Association
Vol. 88, No. 424 (Dec., 1993), pp. 1412-1418
Stable URL: http://www.jstor.org/stable/2291285
Page Count: 7
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In this article Bayesian analysis for a Poly-Weibull distribution using informative priors is discussed. This distribution typically arises when the data is the minimum of several Weibull failure times from competing risks. To perform the Bayesian computations, simulation using the Gibbs sampler is suggested. This can be used to find posterior moments, the marginal posterior probability density function, and the predictive risk or reliability.
Journal of the American Statistical Association © 1993 American Statistical Association