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:: Volume 14, Issue 2 (2-2021) ::
JSS 2021, 14(2): 429-448 Back to browse issues page
Bayes and Empirical Bayesian Estimator of Reliability Function in Multicomponent Stress-Strength System based on Generalized Rayleigh Distribution
Reza Zarei *
Abstract:   (3393 Views)
In this paper, the Bayesian and empirical Bayesian approaches studied in estimate the multicomponent stress–strength reliability model when the strength and stress variables have a generalized Rayleigh distribution with different shape parameters and identical scale parameter. The Bayesian, empirical Bayesian and maximum likelihood estimation of reliability function is obtained in the two cases known and unknown of scale parameter under  the mean squared error loss function. Then, these estimators are compared empirically using Monte Carlo simulation and two real data sets.
Keywords: Multicomponent Stress–Strength Model, Reliability Function, Emprical Bayesian Estimation, Generalized Rayleigh Distribution.
Full-Text [PDF 243 kb]   (1272 Downloads)    
Type of Study: Research | Subject: Reliability
Received: 2019/08/29 | Accepted: 2020/04/6 | Published: 2021/02/28
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Zarei R. Bayes and Empirical Bayesian Estimator of Reliability Function in Multicomponent Stress-Strength System based on Generalized Rayleigh Distribution. JSS 2021; 14 (2) :429-448
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 14, Issue 2 (2-2021) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences

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