Beta Regression Models: Joint Mean and Variance Modeling

In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together wit...

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Autores:
Cepeda Cuervo, Edilberto
Tipo de recurso:
Work document
Fecha de publicación:
2015
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/9323
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/9323
http://bdigital.unal.edu.co/6207/
Palabra clave:
31 Colecciones de estadística general / Statistics
Beta regression
Bayesian methodology
mean and variance modeling
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cepeda Cuervo, Edilberto8f2ae6e2-1778-4f83-a496-0d49efcbe66a3002019-06-24T20:57:53Z2019-06-24T20:57:53Z2015https://repositorio.unal.edu.co/handle/unal/9323http://bdigital.unal.edu.co/6207/In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.application/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de EstadísticaDepartamento de EstadísticaCepeda Cuervo, Edilberto Beta Regression Models: Joint Mean and Variance Modeling. Reporte técnico. Sin Definir. (Enviado)31 Colecciones de estadística general / StatisticsBeta regressionBayesian methodologymean and variance modelingBeta Regression Models: Joint Mean and Variance ModelingDocumento de trabajoinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_71e4c1898caa6e32Texthttp://purl.org/redcol/resource_type/WPORIGINALvarianceBetaRegresion.pdfapplication/pdf126242https://repositorio.unal.edu.co/bitstream/unal/9323/1/varianceBetaRegresion.pdfbfe7fe354b602638b5116556cc8fa2e4MD51THUMBNAILvarianceBetaRegresion.pdf.jpgvarianceBetaRegresion.pdf.jpgGenerated Thumbnailimage/jpeg4350https://repositorio.unal.edu.co/bitstream/unal/9323/2/varianceBetaRegresion.pdf.jpgf1c6177f862fe3c942b6dfeb741214c0MD52unal/9323oai:repositorio.unal.edu.co:unal/93232023-09-06 23:04:33.592Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv Beta Regression Models: Joint Mean and Variance Modeling
title Beta Regression Models: Joint Mean and Variance Modeling
spellingShingle Beta Regression Models: Joint Mean and Variance Modeling
31 Colecciones de estadística general / Statistics
Beta regression
Bayesian methodology
mean and variance modeling
title_short Beta Regression Models: Joint Mean and Variance Modeling
title_full Beta Regression Models: Joint Mean and Variance Modeling
title_fullStr Beta Regression Models: Joint Mean and Variance Modeling
title_full_unstemmed Beta Regression Models: Joint Mean and Variance Modeling
title_sort Beta Regression Models: Joint Mean and Variance Modeling
dc.creator.fl_str_mv Cepeda Cuervo, Edilberto
dc.contributor.author.spa.fl_str_mv Cepeda Cuervo, Edilberto
dc.subject.ddc.spa.fl_str_mv 31 Colecciones de estadística general / Statistics
topic 31 Colecciones de estadística general / Statistics
Beta regression
Bayesian methodology
mean and variance modeling
dc.subject.proposal.spa.fl_str_mv Beta regression
Bayesian methodology
mean and variance modeling
description In this paper joint mean and variance beta regression models are proposed. The proposed models are fitted applying Bayesian methodology and assuming normal prior distribution for the regression parameters. An analysis of structural and real data is included, assuming the proposed model, together with a comparison of the result obtained assuming joint modeling of the mean and precision parameters.
publishDate 2015
dc.date.issued.spa.fl_str_mv 2015
dc.date.accessioned.spa.fl_str_mv 2019-06-24T20:57:53Z
dc.date.available.spa.fl_str_mv 2019-06-24T20:57:53Z
dc.type.spa.fl_str_mv Documento de trabajo
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/submittedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
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url https://repositorio.unal.edu.co/handle/unal/9323
http://bdigital.unal.edu.co/6207/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de Estadística
Departamento de Estadística
dc.relation.references.spa.fl_str_mv Cepeda Cuervo, Edilberto Beta Regression Models: Joint Mean and Variance Modeling. Reporte técnico. Sin Definir. (Enviado)
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
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dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
institution Universidad Nacional de Colombia
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