WinBugs CODE for Beta Regression Models

In 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.

Autores:
Cepeda Cuervo, Edilberto
Tipo de recurso:
Work document
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/9659
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/9659
http://bdigital.unal.edu.co/6610/
Palabra clave:
31 Colecciones de estadística general / Statistics
51 Matemáticas / Mathematics
Beta regression models, WinBugs CODE, Bayesian methodology
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-a496-0d49efcbe66a3002019-06-24T21:04:37Z2019-06-24T21:04:37Zhttps://repositorio.unal.edu.co/handle/unal/9659http://bdigital.unal.edu.co/6610/In 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.application/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de EstadísticaDepartamento de EstadísticaCepeda Cuervo, Edilberto WinBugs CODE for Beta Regression Models. Reporte técnico. Sin Definir. (No publicado)31 Colecciones de estadística general / Statistics51 Matemáticas / MathematicsBeta regression models, WinBugs CODE, Bayesian methodologyWinBugs CODE for Beta Regression ModelsDocumento de trabajoinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_b1a7d7d4d402bcceTexthttp://purl.org/redcol/resource_type/WPORIGINALWinbugs-varBetaRegre.pdfapplication/pdf224575https://repositorio.unal.edu.co/bitstream/unal/9659/1/Winbugs-varBetaRegre.pdf535dcf1708a0cfddcbffc7489b3f1401MD51THUMBNAILWinbugs-varBetaRegre.pdf.jpgWinbugs-varBetaRegre.pdf.jpgGenerated Thumbnailimage/jpeg4223https://repositorio.unal.edu.co/bitstream/unal/9659/2/Winbugs-varBetaRegre.pdf.jpg22ea222dc0c2af8b54b8bf737f2670c4MD52unal/9659oai:repositorio.unal.edu.co:unal/96592022-09-17 23:03:59.586Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co
dc.title.spa.fl_str_mv WinBugs CODE for Beta Regression Models
title WinBugs CODE for Beta Regression Models
spellingShingle WinBugs CODE for Beta Regression Models
31 Colecciones de estadística general / Statistics
51 Matemáticas / Mathematics
Beta regression models, WinBugs CODE, Bayesian methodology
title_short WinBugs CODE for Beta Regression Models
title_full WinBugs CODE for Beta Regression Models
title_fullStr WinBugs CODE for Beta Regression Models
title_full_unstemmed WinBugs CODE for Beta Regression Models
title_sort WinBugs CODE for Beta Regression Models
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
51 Matemáticas / Mathematics
topic 31 Colecciones de estadística general / Statistics
51 Matemáticas / Mathematics
Beta regression models, WinBugs CODE, Bayesian methodology
dc.subject.proposal.spa.fl_str_mv Beta regression models, WinBugs CODE, Bayesian methodology
description In 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.
publishDate 2019
dc.date.accessioned.spa.fl_str_mv 2019-06-24T21:04:37Z
dc.date.available.spa.fl_str_mv 2019-06-24T21:04:37Z
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/draft
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_b1a7d7d4d402bcce
dc.type.content.spa.fl_str_mv Text
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format http://purl.org/coar/resource_type/c_8042
status_str draft
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/9659
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/6610/
url https://repositorio.unal.edu.co/handle/unal/9659
http://bdigital.unal.edu.co/6610/
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 WinBugs CODE for Beta Regression Models. Reporte técnico. Sin Definir. (No publicado)
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
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
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
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/9659/1/Winbugs-varBetaRegre.pdf
https://repositorio.unal.edu.co/bitstream/unal/9659/2/Winbugs-varBetaRegre.pdf.jpg
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repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
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