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Título: Linear contrasts for the one way analysis of variance: a Bayesian approach
Fecha de publicación: feb-2016
Editorial: Elsevier
Cita bibliográfica: Statistics and Probability Letters, 2016, vol. 109, pp. 54-62
ISSN: Print: 0167-7152
Electronic: 1879-2103
Palabras clave: Linear contrasts between means
Objective priors
Bayes factors
Intrinsic priors
Calibration curves
Resumen: Linear contrasts between means for the one way analysis of variance are studied for the first time as objective model selection problems. For it, Bayes factors for intrinsic priors are used and classical and Bayesian measures of evidence are compared.
Autor/es principal/es: Cano, J. A.
Carazo, C.
Salmerón Martínez, Diego
Versión del editor: https://www.sciencedirect.com/science/article/pii/S0167715215003740?via%3Dihub
URI: http://hdl.handle.net/10201/149417
DOI: https://doi.org/10.1016/j.spl.2015.11.001
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 9
Derechos: info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Descripción: © 2015 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is theAccepted version of a Published Work that appeared in final form in Statistics and Probability Letters. To access the final edited and published work see https://doi.org/10.1016/j.spl.2015.11.001
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