Classical and Bayesian inferences on the stress-strength reliability R=P[Y<X<Z] in the geometric distribution setting

Classical and Bayesian inferences on the stress-strength reliability R=P[Y<X<Z] in the geometric distribution setting

The subject matter described herein includes the analysis of the stress-strength reliability of the system, in which the discrete strength of the system is impacted by two random discrete stresses. The reliability function of such systems is denoted by $ R = P[Y &lt; X &lt; Z] $, where $ X $...

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Bibliographic Details
Main Authors: Amit Singh Nayal, Bhupendra Singh, Abhishek Tyagi, Christophe Chesneau
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:AIMS Mathematics
Subjects:
bayes estimation
geometric distribution
gibbs sampler
lindley's approximation
maximum likelihood estimation method
stress-strength reliability
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231054?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.20231054?viewType=HTML

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