Bayesian prediction of unobserved values for Type-II censored data

DOI10.1080/02664763.2016.1201792OpenAlexW2464913279MaRDI QIDQ5138609

Takeshi Kurosawa, Tatsuya Kubota

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1201792

zbMATH Keywords

Bayesian inferenceposterior predictive distributioninverse Weibull distributionimportance sampling methodtype-II censored datalog concave density function

Mathematics Subject Classification ID

Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Bayesian estimation of the scale parameter of inverse Weibull distribution under the asymmetric loss functions
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• Bayesian inference and prediction of the inverse Weibull distribution for type-II censored data
• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• On the Bayesian analysis of the mixture of power function distribution using the complete and the censored sample
• Bayesian inference of the inverse Weibull mixture distribution using type-I censoring
• Exponential survivals with censoring and explanatory variables

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