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文章基本信息

  • 标题:Bayesian estimation based on generalized order statistics from exponentiated Weibull Poisson model
  • 本地全文:下载
  • 作者:Abd-Elfattah A. M ; Amal S. Hassan ; Said G. Nassr
  • 期刊名称:International Journal of Advanced Statistics and Probability
  • 电子版ISSN:2307-9045
  • 出版年度:2015
  • 卷号:3
  • 期号:1
  • 页码:43-52
  • DOI:10.14419/ijasp.v3i1.4300
  • 出版社:Journal of Advanced Computer Science & Technology
  • 摘要:In this research paper, the estimation of the unknown parameters for the exponentiated Weibull Poisson distribution using the concept of generalized order statistics is investigated from Bayesian approach. The squared error, LINEX and general entropy loss functions are considered for Bayesian computation. Bayes estimates based on Progressively type II censored and the joint density function of ordinary order statistics are considered as special cases of generalized order statistics. Finally simulation study is conducted for illustrative purposes.
  • 关键词:Generalized Order Statistics;Exponentiated Weibull Poisson Distribution;Bayesian Method;Progressively Type-II Censored;Joint Density Function of Ordinary Order Statistics.
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