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:: Volume 24, Issue 1 (9-2019) ::
Andishe 2019, 24(1): 13-20 Back to browse issues page
Comparison of Multicomponent Stress–Strength System Reliability Estimation Methods in Inverse Rayleigh Distribution
Shahram Yaghoobzadeh Shahrastani *
Payame Noor University
Abstract:   (846 Views)
In this paper, reliability in multi-component stress-strength models, when the stress and strength variables are inverse Rayleigh distributions with different parameters of alpha and beta. Estimates of the maximum likelihood, Bayesian and empirical Bayesian are estimated. Then, with the help of Monte Carlo simulation and two real data sets, these estimation methods are compared.
Keywords: Multicomponent Stress–Strength‎, ‎Reliability‎, ‎Maximum Likelihood Estimation‎, ‎Bayesian Estimation‎, ‎Emperical Bayesian Estimation‎, ‎Inverse Rayleigh Distribution‎.
Full-Text [PDF 301 kb]   (149 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/06/6 | Accepted: 2019/10/2 | Published: 2019/10/22
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Yaghoobzadeh S. Comparison of Multicomponent Stress–Strength System Reliability Estimation Methods in Inverse Rayleigh Distribution. Andishe. 2019; 24 (1) :13-20
URL: http://andisheyeamari.irstat.ir/article-1-524-en.html


Volume 24, Issue 1 (9-2019) Back to browse issues page
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