期刊名称：Brazilian Journal of Probability and Statistics
印刷版ISSN：0103-0752
出版年度：2001
卷号：15
期号：2
页码：155-168
出版社：Brazilian Statistical Association
摘要：In this paper we present a Bayesian analysis of location-scale regression modelsassuming standard lifetime distributions and an additional error term with amixture of normal distributions. Considering a censored lifetime data set, we useGibbs sampling with Metropolis-Hastings algorithm to get Bayesian quantitiesof interest. The proposed regression mo del gives a great .exibility to fit lifetimedata as we see in an example
关键词：Censored data; lifetime data; location-scale regression models;MCMC algorithms; mixture of normal distributions; semi-parametric models
