E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data

被引：6
|
作者：
Rashad Mohamed EL-Sagheer
机构：
[1] Al-Azhar University,Department of Mathematics, Faculty of Science
来源：
Journal of Statistical Theory and Applications | 2017年 / 16卷 / 2期
关键词：
Rayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation;
D O I：
10.2991/jsta.2017.16.2.8
中图分类号：
学科分类号：
摘要：
This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayesian method and corresponding Bayes and maximum likelihood methods is presented using the Monte Carlo simulation study.
引用
收藏
页码：239 / 247
页数：8
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