文章基本信息

标题：Approximate Bayes Estimators of the Logistic Distribution Parameters Based on Progressive Type-II Censoring Scheme
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作者：Mohamed Mahmoud Mohamed ; Ahmed Rashad Moussa ; Mohammed Yusuf Abdelaziz 等
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：3
页码：519-531
DOI：10.18187/pjsor.v12i3.1176
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In this paper we develop approximate Bayes estimators of the parameters, reliability, and hazard rate functions of the Logistic distribution by using Lindley’s approximation, based on progressively type-II censoring samples. Noninformative prior distributions are used for the parameters. Quadratic, linex and general Entropy loss functions are used. The statistical performances of the Bayes estimates relative to quadratic, linex and general entropy loss functions are compared to those of the maximum likelihood based on simulation study.
其他摘要：In this paper we develop approximate Bayes estimators of the parameters, reliability, and hazard rate functions of the Logistic distribution by using Lindley’s approximation, based on progressively type-II censoring samples. Noninformative prior distributions are used for the parameters. Quadratic, linex and general Entropy loss functions are used. The statistical performances of the Bayes estimates relative to quadratic, linex and general entropy loss functions are compared to those of the maximum likelihood based on simulation study.
关键词：Logistic distribution;progressively type-II censoring;linex and general Entropy loss functions;Lindley’s Bayes approximation