A Bayesian approach to transformations to normality

DOI10.1093/biomet/68.1.35zbMath0465.62028OpenAlexW2032958015WikidataQ63362871 ScholiaQ63362871MaRDI QIDQ3917317

Luís Raúl Pericchi

Publication date: 1981

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/68.1.35

zbMATH Keywords

linear modellikelihood inferencestransformations to normalityBox-Cox family of transformationsJeffreys multiparameter prioroutcome-dependent priorposterior model odds

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Bayesian inference (62F15) Foundations and philosophical topics in statistics (62A01) Analysis of variance and covariance (ANOVA) (62J10)

Related Items (9)

Bayesian transformed models for small area estimation ⋮ Bayesian transformation family selection: Moving toward a transformed Gaussian universe ⋮ An interview with Luis Raúl Pericchi ⋮ Objective Bayesian transformation and variable selection using default Bayes factors ⋮ Effect of individual observations on the Box–Cox transformation ⋮ Semiparametric transformation models with Bayesian P-splines ⋮ The Box-Cox transformation: review and extensions ⋮ An investigation of Bayesian inference approach to model validation with non-normal data ⋮ The log-linear model with a generalized gamma distribution for the error: A Bayesian approach

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