The log-linear model with a generalized gamma distribution for the error: A Bayesian approach

DOI10.1016/0167-7152(86)90053-2zbMath0616.62038OpenAlexW2020830344MaRDI QIDQ1821445

Heleno Bolfarine, Jorge Alberto Achcar

Publication date: 1986

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(86)90053-2

zbMATH Keywords

log-likelihoodgeneralized gamma distributionlog-linear modelsurvival distributionsposterior densitiesLaplace approximation for integrals

Mathematics Subject Classification ID

Bayesian inference (62F15) Linear inference, regression (62J99) Contingency tables (62H17)

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Cites Work

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• Accurate Approximations for Posterior Moments and Marginal Densities
• Inference in the Generalized Gamma and Log Gamma Distributions
• A Bayesian approach to transformations to normality
• A log gamma model and its maximum likelihood estimation
• A Study of Distributional Shape in Life Testing
• Parameter Estimation for a Generalized Gamma Distribution
• Inferential Procedures for the Generalized Gamma Distribution

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