Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring

2020 ◽  
Vol 34 (2) ◽  
pp. 345-369 ◽  
Author(s):  
Raj Kamal Maurya ◽  
Yogesh Mani Tripathi
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mohammad Mehdi Saber ◽  
Marwa M. Mohie El-Din ◽  
Haitham M. Yousof

A stress-strength reliability model compares the strength and stresses on a certain system; it is used not only primarily in reliability engineering and quality control but also in economics, psychology, and medicine. In this paper, a novel extension of stress-strength models is presented. The mew model is applied under the generalized exponential distribution. The maximum likelihood estimator, asymptotic distribution, and Bayesian estimation are obtained. A comprehensive simulation study along with real data analysis is performed for illustrating the importance of the new stress-strength model.


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