Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications.

Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications.

This article examines the estimate of ϑ = P [T < Q], using both Bayesian and non-Bayesian methods, utilizing progressively first-failure censored data. Assume that the stress (T) and strength (Q) are independent random variables that follow the Burr III distribution and the Burr XII distribution,...

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Main Authors: Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0312937
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https://doi.org/10.1371/journal.pone.0312937

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