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  • 标题:Bayesian Inference for Concomitants based on Weibull Subfamily of Morgenstern Family Under Generalized Order Statistics
  • 本地全文:下载
  • 作者:M.M. Mohie EL-Din ; Nahed S.A. Ali ; M.M. Amein
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2016
  • 卷号:12
  • 期号:1
  • 页码:73-87
  • DOI:10.18187/pjsor.v12i1.1134
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this paper, for Weibull subfamily of Morgenstern family, the joint density of the concomitants of generalized order statistics (GOS's) is used to obtain the maximum likelihood estimates (MLE) and Bayes estimates for the distribution parameters. Applications of these results for concomitants of order statistics are presented.
  • 其他摘要:In this paper, for Weibull subfamily of Morgenstern family, the joint density of the concomitants of generalized order statistics (GOS's) is used to obtain the maximum likelihood estimates (MLE) and Bayes estimates for the distribution parameters. Applications of these results for concomitants of order statistics are presented.
  • 关键词:Bayesian estimation; Concomitants; Generalized order statistics; Maximum likelihood estimation; Morgenstern family.
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