期刊
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
卷 46, 期 4, 页码 1560-1572出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/03610926.2015.1022457
关键词
Bayesian estimation; Kumaraswamy distribution; maximum likelihood estimation; reliability of multicomponent
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.
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