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  • 标题:Bayesian Inference Based on Multiply Type-II Censored Sample from a General Class of Distributions
  • 本地全文:下载
  • 作者:A.R. Shafay ; M.M. Mohie El-Din ; Y. Abdel-Aty
  • 期刊名称:Journal of Statistical Theory and Applications (JSTA)
  • 电子版ISSN:1538-7887
  • 出版年度:2018
  • 卷号:17
  • 期号:1
  • 页码:148-159
  • DOI:10.2991/jsta.2018.17.1.11
  • 语种:English
  • 出版社:Atlantis Press
  • 摘要:In this paper, we consider a general form for the underlying distribution and a general conjugate prior, and develop a general procedure for Bayesian estimation based on an observed multiply Type-II censored sample. The problem of predicting the order statistics from a future sample are also discussed from a Bayesian view-point. For the illustration of the developed results, the inverse Weibull distribution is used as example. Finally, two numerical examples are presented for illustrating all the inferential procedures developed here.
  • 关键词:Order statistics;Multiply Type-II censored sample;Bayesian prediction;Bayesian estimation;The inverse Weibull distribution;The inverse exponential distribution
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