On gamma regression residuals
In this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from propertie...
- Autores:
-
Cifuentes, María Victoria
Corrales Bossio, Martha Lucía
Zarate, Héctor
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/20882
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/20882
http://bdigital.unal.edu.co/11551/
- Palabra clave:
- 51 Matemáticas / Mathematics
Gamma regression
Fisher scoring algorithm
Bayesian estimation, residuals.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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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_abf2Cifuentes, María Victoria523662a3-9f01-4a21-b8fe-e29e1dc4649c300Corrales Bossio, Martha Lucía053b12d4-c7bd-4025-8783-5ca9a62c6e32300Zarate, Héctor3ee94fcf-c9df-4f90-907d-f121e455f322300Cepeda Cuervo, Edilberto8f2ae6e2-1778-4f83-a496-0d49efcbe66a3002019-06-25T18:47:57Z2019-06-25T18:47:57Zhttps://repositorio.unal.edu.co/handle/unal/20882http://bdigital.unal.edu.co/11551/In this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from properties of the biparametric exponential family of distributions and simulated and real data sets are analyzed to determine the performance and behavior of the proposed residuals.application/pdfspaUniversidad Nacional de Colombia Sede Bogotá Facultad de Ciencias Departamento de EstadísticaDepartamento de EstadísticaCifuentes, María Victoria and Corrales Bossio, Martha Lucía and Zarate, Héctor and Cepeda Cuervo, Edilberto On gamma regression residuals. Reporte técnico. Sin Definir. (No publicado)51 Matemáticas / MathematicsGamma regressionFisher scoring algorithmBayesian estimation, residuals.On gamma regression residualsDocumento 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/WPORIGINALRegresionGammaResidualsVF.pdfapplication/pdf451099https://repositorio.unal.edu.co/bitstream/unal/20882/1/RegresionGammaResidualsVF.pdf32b8d4e53f03fdee21256aeb955d388dMD51THUMBNAILRegresionGammaResidualsVF.pdf.jpgRegresionGammaResidualsVF.pdf.jpgGenerated Thumbnailimage/jpeg5457https://repositorio.unal.edu.co/bitstream/unal/20882/2/RegresionGammaResidualsVF.pdf.jpg5339496ef92f6cf455e764b79621f5edMD52unal/20882oai:repositorio.unal.edu.co:unal/208822022-10-06 23:04:58.581Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
On gamma regression residuals |
title |
On gamma regression residuals |
spellingShingle |
On gamma regression residuals 51 Matemáticas / Mathematics Gamma regression Fisher scoring algorithm Bayesian estimation, residuals. |
title_short |
On gamma regression residuals |
title_full |
On gamma regression residuals |
title_fullStr |
On gamma regression residuals |
title_full_unstemmed |
On gamma regression residuals |
title_sort |
On gamma regression residuals |
dc.creator.fl_str_mv |
Cifuentes, María Victoria Corrales Bossio, Martha Lucía Zarate, Héctor Cepeda Cuervo, Edilberto |
dc.contributor.author.spa.fl_str_mv |
Cifuentes, María Victoria Corrales Bossio, Martha Lucía Zarate, Héctor Cepeda Cuervo, Edilberto |
dc.subject.ddc.spa.fl_str_mv |
51 Matemáticas / Mathematics |
topic |
51 Matemáticas / Mathematics Gamma regression Fisher scoring algorithm Bayesian estimation, residuals. |
dc.subject.proposal.spa.fl_str_mv |
Gamma regression Fisher scoring algorithm Bayesian estimation, residuals. |
description |
In this paper we propose a new residuals for gamma regression models, assuming that both mean and shape parameters, follow regression structures. The models are summarized and fitted by applying both classic and Bayesian methods as proposed by Cepeda-Cuervo. The residuals are proposed from properties of the biparametric exponential family of distributions and simulated and real data sets are analyzed to determine the performance and behavior of the proposed residuals. |
publishDate |
2019 |
dc.date.accessioned.spa.fl_str_mv |
2019-06-25T18:47:57Z |
dc.date.available.spa.fl_str_mv |
2019-06-25T18:47:57Z |
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 |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/WP |
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/20882 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/11551/ |
url |
https://repositorio.unal.edu.co/handle/unal/20882 http://bdigital.unal.edu.co/11551/ |
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 |
Cifuentes, María Victoria and Corrales Bossio, Martha Lucía and Zarate, Héctor and Cepeda Cuervo, Edilberto On gamma regression residuals. 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/20882/1/RegresionGammaResidualsVF.pdf https://repositorio.unal.edu.co/bitstream/unal/20882/2/RegresionGammaResidualsVF.pdf.jpg |
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32b8d4e53f03fdee21256aeb955d388d 5339496ef92f6cf455e764b79621f5ed |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
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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1814090102921494528 |