Publication:
Linear contrasts for the one way analysis of variance: a Bayesian approach

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CanoCarazoSalmeron_3.pdf(445.35 KB)
Date
2016-02
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Authors
Cano, J. A. ; Carazo, C. ; Salmerón Martínez, Diego
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Publisher
Elsevier
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Ciencias Sociosanitarias
DOI
https://doi.org/10.1016/j.spl.2015.11.001
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info:eu-repo/semantics/article
Description
© 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
Abstract
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.
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Linear contrasts between means , Objective priors , Bayes factors , Intrinsic priors , Calibration curves
Citation
Statistics and Probability Letters, 2016, vol. 109, pp. 54-62
URI
http://hdl.handle.net/10201/149417
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