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

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dc.contributor.authorCano Sánchez, Juan Antonio
dc.contributor.authorCarazo Díaz, Carmen
dc.contributor.authorSalmerón Martínez, Diego
dc.date.accessioned2025-01-27T15:38:52Z
dc.date.available2025-01-27T15:38:52Z
dc.date.issued2016
dc.descriptionAcceso a la versión publicada en https://www.sciencedirect.com/science/article/abs/pii/S0167715215003740?via%3Dihubes
dc.description.abstractLinear 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 comparedes
dc.description.disciplineIngeniería, Industria y Construcciónes
dc.description.facultyEscuela Politécnicaes
dc.identifier.citationCano, 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.2015.11.001es
dc.identifier.doi10.1016/j.spl.2015.11.001es
dc.identifier.urihttp://hdl.handle.net/10952/8954
dc.journal.titleStatistics and Probability Letterses
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectLinear contrasts between meanses
dc.subjectObjective priorses
dc.subjectBayes factorses
dc.subjectIntrinsic priorses
dc.subjectCalibration curveses
dc.titleLinear Contrasts for the One Way Analysis of Variance: A Bayesian Approaches
dc.typejournal articlees
dc.volume.number109es
dspace.entity.typePublication

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