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文章基本信息

  • 标题:Paremeter Estimation and Prediction of the Exponential Life Time Model via Bayesian Approach
  • 本地全文:下载
  • 作者:Javed Muneeb ; Saleem Muhammad ; Alamgir
  • 期刊名称:Research Journal of Recent Sciences
  • 电子版ISSN:2277-2502
  • 出版年度:2015
  • 卷号:4
  • 期号:10
  • 页码:25-31
  • 语种:English
  • 出版社:International Science Community Association
  • 摘要:In this paper the Bayesian analysis for Exponential model assuming uninformative conjugate (Jeffrey’s and Uniform) and informative conjugate (inverted gamma and two component inverted gamma mixture) priors is presented. The comparison between the two approaches is made on the basis of Bayes estimates, posterior risks, credible intervals and highest posterior density regions for different sample sizes and parameter values. The Bayesian predictive intervals assuming informative priors are calculated for different combinations of the hyperparameters to discover the range of hyper-parameters that lead towards more precise estimates of the parameters of interest.
  • 关键词:Exponential distribution;informative prior;conjugate prior;Bayesian estimation;hyper parameters
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