文章基本信息

标题：Study of the Left Censored Data from the Gumbel Type II Distribution under a Bayesian Approach
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作者：Sindhu, Tabassum Naz ; Feroze, Navid ; Aslam, Muhammad 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2016
卷号：15
期号：2
页码：10
出版社：Wayne State University
摘要：Based on left type II censored samples from a Gumbel type II distribution, the Bayes estimators and corresponding risks of the unknown parameter were obtained under different asymmetric loss functions, assuming different informative and non-informative priors. Elicitation of hyper-parameters through prior predictive approach has also been discussed. The expressions for the credible intervals and posterior predictive distributions have been derived. Comparisons of these estimators are made through simulation study using numerical and graphical methods.
关键词：Left censoring; loss functions; credible intervals; posterior predictive distributions