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dc.creatorCepeda Cuervo, Edilberto
dc.date.accessioned2019-06-24T21:04:37Z
dc.date.available2019-06-24T21:04:37Z
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/9659
dc.descriptionIn this paper WinBugs code to fit joint mean and precision (variance) beta regression models is presented. These models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. Analysis of structural data are included, assuming these models.
dc.formatapplication/pdf
dc.relation.ispartofUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de Estadística
dc.relation.ispartofDepartamento de Estadística
dc.subjectBeta regression models, WinBugs CODE, Bayesian methodology
dc.subject.ddc31 Colecciones de estadística general / Statistics
dc.subject.ddc51 Matemáticas / Mathematics
dc.titleWinBugs CODE for Beta Regression Models
dc.typeinfo:eu-repo/semantics/workingPaper
dc.type.spaDocumento de trabajo - Monograph
dc.type.hasversioninfo:eu-repo/semantics/draft
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.bibliographicCitationCepeda Cuervo, Edilberto WinBugs CODE for Beta Regression Models. Reporte técnico. Sin Definir. (No publicado)
dc.identifier.eprintshttp://bdigital.unal.edu.co/6610/


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