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...

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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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oai_identifier_str oai:repositorio.unal.edu.co:unal/20882
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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_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
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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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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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