Linear Contrasts for the One Way Analysis of Variance: A Bayesian Approach

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URI: http://hdl.handle.net/10952/8954
DOI: 10.1016/j.spl.2015.11.001

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Access status: Embargo until 2027-01-27 , APORTACION 5_CanoCarazoSalm_3.pdf (445.35 KB)

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2016

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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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Acceso a la versión publicada en https://www.sciencedirect.com/science/article/abs/pii/S0167715215003740?via%3Dihub

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Ingeniería, Industria y Construcción

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Linear contrasts between meansObjective priorsBayes factorsIntrinsic priorsCalibration curves

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journal article

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Cano, J. A., Carazo, C., & Salmerón, D. (2016). Linear contrasts for the one way analysis of variance: A Bayesian approach. Statistics and Probability Letters, 109, 54–62. https://doi.org/10.1016/j.spl.2015.11.001

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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional