Statistical inference for the Rayleigh model based on progressively type-II censored data

被引：28

作者：

Mousa, MAMA ^{[1
]}

Al-Sagheer, SA ^{[1
]}

机构：

[1] Univ Assiut, Dept Math, Assiut, Egypt

来源：

STATISTICS | 2006年 / 40卷 / 02期

关键词：

Rayleigh distribution; progressively type-II censoring; Bayesian estimation; uniform distribution; Monte Carlo simulation;

D O I：

10.1080/02331880500520714

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：

Maximum likelihood and Bayes estimates for one and two parameters and the reliability function of the Rayleigh distribution are obtained on the basis of progressively type-II censored samples. The inverted gamma conjugate prior density is assumed for the one-parameter case, whereas the joint prior density of the two-parameter case is composed of the inverted gamma and the uniform densities. A comparison between the obtained estimators is made through a Monte Carlo simulation study.

引用

页码：149 / 157

页数：9

共 19 条

[1] Some properties of progressive censored order statistics from arbitrary and uniform distributions with applications to inference and simulation [J].