Inference on the stress strength reliability with exponentiated generalized Marshall Olkin-G distribution

Neama Salah Youssef Temraz

PLOS ONE, 2023, vol. 18, issue 8, 1-26

Abstract: In this paper, an inference on stress-strength reliability model is introduced in case of the exponentiated generalized Marshall Olkin G family of distributions. The maximum likelihood estimator of the stress-strength reliability function is deduced. An asymptotic confidence and bootstrap confidence intervals for the stress-strength reliability function are derived. A Bayesian inference is introduced for the stress-strength reliability. A simulation is introduced to obtain the maximum likelihood and Bayesian estimates for the stress strength reliability. Real data applications are provided to show the results for the stress-strength model and compare the exponentiated generalized Marshall Olkin-G distribution with other distributions.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0280183

DOI: 10.1371/journal.pone.0280183

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