Objective Bayesian analysis of accelerated competing failure models under type-I censoring

DOI10.1016/J.CSDA.2011.04.009zbMath1218.62110OpenAlexW2086899252MaRDI QIDQ553504

Ancha Xu, Yin-cai Tang

Publication date: 27 July 2011

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.04.009

zbMATH Keywords

Weibull distributionGibbs samplingreference priorcompeting failure

Mathematics Subject Classification ID

Bayesian inference (62F15) Reliability and life testing (62N05)

Related Items (14)

Bayesian analysis of series system with dependent causes of failure ⋮ Semiparametric estimation for proportional hazards mixture cure model allowing non-curable competing risk ⋮ A Competing Risk Model Based on a Two-Parameter Exponential Family Distribution Under Progressive Type II Censoring ⋮ On the dependent competing risks using Marshall–Olkin bivariate Weibull model: Parameter estimation with different methods ⋮ Applying the copula approach on step stress accelerated life test under type II censoring ⋮ Reference optimality criterion for planning accelerated life testing ⋮ Objective Bayesian analysis for the normal compositional model ⋮ Bayesian analysis of constant-stress accelerated life test for the Weibull distribution using noninformative priors ⋮ Bayesian inference for step-stress partially accelerated competing failure model under type II progressive censoring ⋮ Bayesian accelerated life testing under competing log-location-scale family of causes of failure ⋮ Objective Bayesian analysis for bivariate Marshall-Olkin exponential distribution ⋮ Statistical analysis of dependent competing risks model in accelerated life testing under progressively hybrid censoring using copula function ⋮ Inference of accelerated dependent competing risks model for Marshall-Olkin bivariate Weibull distribution with nonconstant parameters ⋮ Bayesian Accelerated Life Testing under Competing Weibull Causes of Failure

Cites Work

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• Accelerated Testing
• Bayesian Analysis for the Poly-Weibull Distribution
• The Selection of Prior Distributions by Formal Rules
• Estimating a Product of Means: Bayesian Analysis with Reference Priors
• Adaptive Rejection Sampling for Gibbs Sampling
• The case for objective Bayesian analysis

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