Bayes estimation of \(P(Y < X)\) for the Weibull distribution with arbitrary parameters

DOI10.1016/j.apm.2017.03.020zbMath1446.62262OpenAlexW2597007878MaRDI QIDQ2290230

Bo Guo, Xiang Jia, Saralees Nadarajah

Publication date: 27 January 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2017.03.020

zbMATH Keywords

MCMC methodFox-Wright functionBayes estimateBayes credible intervalstrength and stress model

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (7)

A comparison of different least-squares methods for reliability of Weibull distribution based on right censored data ⋮ Reliability analysis for Weibull distribution with homogeneous heavily censored data based on Bayesian and least-squares methods ⋮ A Note on Estimation of Stress-Strength Reliability under Generalized Uniform Distribution when Strength Stochastically Dominates Stress ⋮ Inference on \(q\)-Weibull parameters ⋮ Stress-strength reliability estimation under the standard two-sided power distribution ⋮ Reliability inference of stress-strength model for the truncated proportional hazard rate distribution under progressively type-II censored samples ⋮ Inference of reliability in a multicomponent stress-strength model under generalized progressive hybrid censoring

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