Bayesian Analysis for the Poly-Weibull Distribution
研究了多威布尔分布的贝叶斯分析方法，该分布常用于竞争风险下最小失效时间数据。使用吉布斯采样进行后验计算，可得到后验矩、边缘后验密度和预测风险。
Abstract 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.