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  • 标题:Bayesian and Non–Bayesian Estimation for Two Generalized Exponential Populations Under Joint Type II Censored Scheme
  • 本地全文:下载
  • 作者:Samir Kamel Ashour ; Osama Eraki Abo-Kasem
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2014
  • 卷号:10
  • 期号:1
  • 页码:57-72
  • DOI:10.1234/pjsor.v10i1.710
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this paper, Bayesian and non-Bayesian estimators have been obtained for two generalized exponential populations under joint type II censored scheme, which generalize results of Balakrishnan and Rasouli (2008) and Shafay et al. (2013) . The maximum likelihood estimators (MLEs) of the parameters and Bayes estimators have been developed under squared error loss function as well as under LINEX loss function. Moreover, approximate confidence region are also discussed and compared with two Bootstrap confidence regions. Also the MLE and three confidence intervals for the stress–strength parameter are explored. A numerical illustration for these new results is given.
  • 关键词:Generalized exponential distribution;joint type-II censoring;maximum likelihood estimation;Confidence bounds;Bootstrap intervals;Coverage probabilities;Bayesian estimation;squared-error loss;linear-exponential loss;stress–strength reliability.
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