Estimation of reliability of multicomponent stress-strength for a Kumaraswamy distribution

被引：67

作者：

Dey, Sanku ^{[1
]}

Mazucheli, Josmar ^{[2
]}

Anis, M. Z. ^{[3
]}

机构：

[1] St Anthonys Coll, Dept Stat, Shillong 793001, Meghalaya, India

[2] Univ Estadual Maringa, Des, PR, Brazil

[3] Indian Stat Inst, SQC & OR Unit, Kolkata, India

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 04期

关键词：

Bayesian estimation; Kumaraswamy distribution; maximum likelihood estimation; reliability of multicomponent; PROBABILITY DENSITY-FUNCTION; RUN LENGTH CONTROL; BAYESIAN-ESTIMATION; YIELD; SYSTEM;

D O I：

10.1080/03610926.2015.1022457

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：

This article deals with the Bayesian and non Bayesian estimation of multicomponent stress-strength reliability by assuming the Kumaraswamy distribution. Both stress and strength are assumed to have a Kumaraswamy distribution with common and known shape parameter. The reliability of such a system is obtained by the methods of maximum likelihood and Bayesian approach and the results are compared using Markov Chain Monte Carlo (MCMC) technique for both small and large samples. Finally, two data sets are analyzed for illustrative purposes.

引用

页码：1560 / 1572

页数：13

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