Bayesian inference for the randomly censored Weibull distribution

DOI10.1080/00949655.2012.704516zbMath1453.62683OpenAlexW1992492782MaRDI QIDQ5219220

Muhammad Yameen Danish, Muhammad Aslam

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.704516

zbMATH Keywords

importance samplingMarkov chain Monte Carlorandom censoringGibbs samplingprior distributionLindley's approximationsquared error loss functionBayes estimates

Mathematics Subject Classification ID

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

Related Items (6)

Linear Bayesian estimators for linear models with constraints ⋮ Maximum likelihood and Bayes estimation in randomly censored geometric distribution ⋮ Classical and Bayesian inference in two parameter exponential distribution with randomly censored data ⋮ Bayesian inference for the randomly censored Burr-type XII distribution ⋮ Estimation in Maxwell distribution with randomly censored data ⋮ Objective Bayesian analysis for Weibull distribution with application to random censorship model

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• On the comparison of Fisher information of the Weibull and GE distributions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Generalized exponential distributions

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