Bayes estimators for reliability measures in geometric distribution model using masked system life test data

被引：15
|
作者：
Sarhan, Ammar M. [1 ]
Kundu, Debasis [2 ]
机构：
[1] Mansoura Univ, Fac Sci, Dept Math, Mansoura 35516, Egypt
[2] Indian Inst Technol Kanpur, Dept Math, Kanpur 208016, Uttar Pradesh, India
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2008年 / 52卷 / 04期
关键词：
Bayes procedure; geometric distribution; reliability measures; masked data; competing risks;
D O I：
10.1016/j.csda.2007.05.031
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents Bayes estimators for the reliability measures of the individual components in a multi-component systems in the presence of masked system life test data. The life time distributions of the system components are assumed to be geometric with different parameters. Two-sided Bayesian probability intervals of the parameters are also derived. Numerical simulation study is given in order to: (i) explain how one can apply the theoretical results obtained, (ii) study the influence of the sample size and masking level on the accuracy of point estimates. (C) 2007 Elsevier B.V. All rights reserved.
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页码：1821 / 1836
页数：16
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