Bayes Inference in Constant Partially Accelerated Life Tests for the Generalized Exponential Distribution with Progressive Censoring

被引：22

作者：

Jaheen, Z. F. ^{[1
]}

Moustafa, H. M. ^{[2
]}

Abd El-Monem, G. H. ^{[2
]}

机构：

[1] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21413, Saudi Arabia

[2] Assiut Univ, Fac Sci, Dept Math, Assiut 71516, Egypt

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2014年 / 43卷 / 14期

关键词：

Bayesian estimation; Constant partially accelerated life tests; Generalized exponential distribution; Maximum likelihood estimation; Monte Carlo simulation; Progressive Type-II censoring; FINITE MIXTURE-MODELS; INTERVAL ESTIMATION; STRESS; STEP; PARAMETERS;

D O I：

10.1080/03610926.2012.687068

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, the problem of constant partially accelerated life tests when the lifetime follows the generalized exponential distribution is considered. Based on progressive type-II censoring scheme, the maximum likelihood and Bayes methods of estimation are used for estimating the distribution parameters and acceleration factor. A Monte Carlo simulation study is carried out to examine the performance of the obtained estimates.

引用

页码：2973 / 2988

页数：16

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