This analysis demonstrates reliability estimation R=P(X<Y) in stress-strength models, suggesting comparisons of classical methods including MLE and UMVUE.
In many real-life scenarios, stress-strength model is a significant level that notices efficincy in reliability system. Thus, this paper considers the stress–strength model with reliability estimation R=P(X<Y) based on the Distribution of Inverse Rayleigh (IRD). Few classical methods of estimation such as; Likelihood as Maximum (MLE), Uniformly Unbiased Minimum Variance estimator (UMVUE), and Moment method (MOM), and three types of shrinkage weight factors estimation methods were compared. Also, a simulation of Monte Carlo is utilized for comparing among proposed methods based on Mean Square Error (MSE).
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Kalaf et al. (2021) studied this question.
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