A Bayesian skew mixture item response model

Detalhes bibliográficos
Autor(a) principal: Juliane Venturelli Silva Lima
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFMG
Texto Completo: http://hdl.handle.net/1843/ICED-9WFGSE
Resumo: .
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spelling Flavio Bambirra GoncalvesRosangela Helena LoschiFlavio Bambirra GoncalvesGlaura da Conceicao FrancoTufi Machado SoaresJuliane Venturelli Silva Lima2019-08-13T09:50:10Z2019-08-13T09:50:10Z2015-03-02http://hdl.handle.net/1843/ICED-9WFGSE.Under the Item Response Theory, the two most common link functions used to model dichotomous data are the symmetric probit and logit. However, some authors have emphasized that these symmetric links do not always provide the best t for some data sets. To overcome this issue, asymmetric links have been proposed. This work aims at introducing a exible Item Response Model able to accommodate both symmetric and asymmetric link. The c.d.f. of a centered skew normal distribution is assumed as the link function and, additionally, we consider a nite mixture of Beta distributions and a point mass distribution at zero to describe the uncertainty about the skewness parameter, so not all items need to be assumed asymmetric a priori. Therefore, the proposed model embraces symmetric and asymmetric normal models in one also performing an intrinsic model selection. We o er the full condition distribution of ability, discrimination and dificulty parameters. We also introduce efficient algorithms to sample from the posterior distributions.Universidade Federal de Minas GeraisUFMGEstatísticaTeoria bayesiana de decisão estatisticaProbabilidadesEstatísticaA Bayesian skew mixture item response modelinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGORIGINALdisserta__o_juliane_venturelli.pdfapplication/pdf1134604https://repositorio.ufmg.br/bitstream/1843/ICED-9WFGSE/1/disserta__o_juliane_venturelli.pdf821d025a05f4744c4fd6b35cf6708cecMD51TEXTdisserta__o_juliane_venturelli.pdf.txtdisserta__o_juliane_venturelli.pdf.txtExtracted texttext/plain101754https://repositorio.ufmg.br/bitstream/1843/ICED-9WFGSE/2/disserta__o_juliane_venturelli.pdf.txt777aca57c5bdcaf44f809a1dc576e9c3MD521843/ICED-9WFGSE2019-11-14 22:26:41.612oai:repositorio.ufmg.br:1843/ICED-9WFGSERepositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2019-11-15T01:26:41Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv A Bayesian skew mixture item response model
title A Bayesian skew mixture item response model
spellingShingle A Bayesian skew mixture item response model
Juliane Venturelli Silva Lima
Estatística
Estatística
Teoria bayesiana de decisão estatistica
Probabilidades
title_short A Bayesian skew mixture item response model
title_full A Bayesian skew mixture item response model
title_fullStr A Bayesian skew mixture item response model
title_full_unstemmed A Bayesian skew mixture item response model
title_sort A Bayesian skew mixture item response model
author Juliane Venturelli Silva Lima
author_facet Juliane Venturelli Silva Lima
author_role author
dc.contributor.advisor1.fl_str_mv Flavio Bambirra Goncalves
dc.contributor.advisor-co1.fl_str_mv Rosangela Helena Loschi
dc.contributor.referee1.fl_str_mv Flavio Bambirra Goncalves
dc.contributor.referee2.fl_str_mv Glaura da Conceicao Franco
dc.contributor.referee3.fl_str_mv Tufi Machado Soares
dc.contributor.author.fl_str_mv Juliane Venturelli Silva Lima
contributor_str_mv Flavio Bambirra Goncalves
Rosangela Helena Loschi
Flavio Bambirra Goncalves
Glaura da Conceicao Franco
Tufi Machado Soares
dc.subject.por.fl_str_mv Estatística
topic Estatística
Estatística
Teoria bayesiana de decisão estatistica
Probabilidades
dc.subject.other.pt_BR.fl_str_mv Estatística
Teoria bayesiana de decisão estatistica
Probabilidades
description .
publishDate 2015
dc.date.issued.fl_str_mv 2015-03-02
dc.date.accessioned.fl_str_mv 2019-08-13T09:50:10Z
dc.date.available.fl_str_mv 2019-08-13T09:50:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1843/ICED-9WFGSE
url http://hdl.handle.net/1843/ICED-9WFGSE
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/ICED-9WFGSE/1/disserta__o_juliane_venturelli.pdf
https://repositorio.ufmg.br/bitstream/1843/ICED-9WFGSE/2/disserta__o_juliane_venturelli.pdf.txt
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