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Beta generalized distributions and related exponentiated models: A Bayesian approach

机译:Beta广义分布和相关指数模型:贝叶斯方法

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We introduce a Bayesian analysis for beta generalized distributions and related exponentiated models. We review the exponentiated exponential, exponentiated Weibull and beta generalized exponential distributions. These distributions have been proposed as alternative extensions of the gamma and Weibull distributions in the analysis of lifetime data. Some posterior summaries of interest are obtained using Monte Carlo Markov chain (MCMC) methods. An application to a real data set is given to illustrate the potentiality of the Bayesian analysis.
机译:我们介绍贝叶斯分析的β广义分布和相关指数模型。我们回顾了指数型指数,Weibull指数型和beta广义指数分布。这些分布已被建议作为寿命数据分析中gamma和Weibull分布的替代扩展。使用蒙特卡洛马尔可夫链(MCMC)方法可以获得一些感兴趣的后验摘要。给出了对实际数据集的应用,以说明贝叶斯分析的潜力。

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