BAYES PARAMETER-ESTIMATION FOR THE BIVARIATE WEIBULL MODEL OF MARSHALL-OLKIN FOR CENSORED-DATA

被引：24
|
作者：
LU, JC
机构：
[1] Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695-8203
来源：
IEEE TRANSACTIONS ON RELIABILITY | 1992年 / 41卷 / 04期
关键词：
BAYES ESTIMATOR; MARSHALL AND OLKIN BIVARIATE WEIBULL; BIVARIATE CENSORED DATA; SYSTEM DATA; COMPONENT DATA;
D O I：
10.1109/24.249597
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Industrial applications frequently require statistical procedures to analyze life-test data from various sources, particularly in situations where observations are limited. This article develops a Bayes parameter estimation method for bivariate censored data collected from both system and component levels. The bivariate Weibull distribution of Marshall & Olkin is used to model lifetimes of components in a 2-component system. Closed-form Bayes estimators of the model parameters are proposed along with their variances and high probability density intervals.
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页码：608 / 615
页数：8
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