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  • 标题:Bayesian Estimation of Gumbel Type-II Distribution
  • 本地全文:下载
  • 作者:Kamran Abbas ; Jiayu Fu ; Yincai Tang
  • 期刊名称:Data Science Journal
  • 电子版ISSN:1683-1470
  • 出版年度:2015
  • 卷号:12
  • DOI:10.2481/dsj.13-022
  • 语种:English
  • 出版社:Ubiquity Press
  • 摘要:In this paper we consider the Bayesian estimators for the unknown parameters of Gumbel type-II distribution. The Bayesian estimators cannot be obtained in closed forms. Approximate Bayesian estimators are computed using the idea of Lindley’s approximation under different loss functions. The approximate Bayes estimates obtained under the assumption of non-informative priors are compared with their maximum likelihood counterparts using Monte Carlo simulation. A real data set is analyzed for illustrative purpose.
  • 关键词:Bayesian estimator; Maximum likelihood estimator; Lindley's approximation; Monte Carlo simulation; Gumbel type-II distribution
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