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文章基本信息

  • 标题:Bayesian Estimation of the Parameters of Two-Component Mixture of Rayleigh Distribution under Doubly Censoring
  • 本地全文:下载
  • 作者:Sindhu, Tahassum N ; Feroze, Navid ; Aslam, Muhammad
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2014
  • 卷号:13
  • 期号:2
  • 页码:14
  • 出版社:Wayne State University
  • 摘要:Recently, the Bayesian analysis of the two-component mixture of lifetime models under singly type I censored samples was discussed. The Bayes estimation of the parameters of mixture of two Rayleigh distributions (MTRD) is developed under doubly censoring. Different informative priors, under squared error loss function and k-loss function, have been assumed for the posterior estimation. The performance of different estimators has been compared in terms of posterior risks by analyzing the simulated and real life data sets.
  • 关键词:Inverse transformation method; mixture model; doubly censoring; loss functions; Bayes estimator
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