COMPARISON OF ESTIMATORS FOR STRESS-STRENGTH RELIABILITY IN THE GOMPERTZ CASE

被引：0

作者：

Saracoglu, Bugra ^{[1
]}

Kaya, Mehmet Fedai ^{[1
]}

Abd-Elfattah, A. M. ^{[2
]}

机构：

[1] Selcuk Univ, Fac Sci, Dept Stat, TR-42031 Konya, Turkey

[2] Cairo Univ, Inst Stat Studies & Res, Dept Math Stat, Cairo, Egypt

来源：

HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS | 2009年 / 38卷 / 03期

关键词：

Stress-strength reliability; Gompertz distribution; Minimum variance unbiased estimation; Maximum likelihood estimation; Bayes estimation; Mean square error; X DISTRIBUTION; BURR; P(Y-LESS-THAN-X); MODEL;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this paper, the Bayesian and non Bayesian estimation problem of reliability, R = P(Y < X), will be considered when X and Y are two independent but not identically random variables belonging to the Gompertz distribution. The three estimation methods applied were the maximum likelihood, uniformly minimum variance unbiased, and Bayes estimators. A numerical illustration is used to compare the three different estimators.

引用

页码：339 / 349

页数：11

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