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dc.creatorLópez, Freddy Omar
dc.date.accessioned2019-07-03T16:01:26Z
dc.date.available2019-07-03T16:01:26Z
dc.date.created2013
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/73203
dc.descriptionSome variables are restricted to the open interval (0; 1) and several methodshave been developed to work with them under the scheme of the regressionanalysis. Most of research consider maximum likelihood methods andthe use of Beta or Simplex distributions.This paper presents the use of Bayesian techniques to estimate the parametersof the simplex regression supported on the implementation of somesimulations and a comparison with Beta regression. We consider both modelswith constant variance and models with
dc.formatapplication/pdf
dc.publisherUniversidad Nacional de Colombia
dc.relationhttp://revistas.unal.edu.co/index.php/estad/article/view/39580
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Revista Colombiana de Estadística
dc.relation.ispartofRevista Colombiana de Estadística
dc.relation.ispartofseriesRevista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 1-21 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 1-21 0120-1751
dc.subjectBeta distribution
dc.subjectGibbs sampler
dc.subjectHeterogeneous
dc.subjectProportions
dc.subjectSimplex distribution
dc.subjectVariances
dc.titleA bayesian approach to parameter estimation in simplex regression model: a comparison with beta regression
dc.typeinfo:eu-repo/semantics/article
dc.type.spaArtículo - Article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.bibliographicCitationLópez, Freddy Omar (2013) A bayesian approach to parameter estimation in simplex regression model: a comparison with beta regression. Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 1-21 Revista Colombiana de Estadística; Vol. 36, núm. 1 (2013); 1-21 0120-1751 .
dc.identifier.eprintshttp://bdigital.unal.edu.co/37678/


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