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dc.contributor.authorCasals, Martí
dc.contributor.authorLangohr, Klaus
dc.contributor.authorCarrasco, Josep Lluís
dc.contributor.authorRönnegård, Lars
dc.date.accessioned2016-07-05T13:14:30Z
dc.date.available2016-07-05T13:14:30Z
dc.date.issued2015-12
dc.identifier.citationCasals, Martí [et al.]. Parameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study. "SORT", Desembre 2015, vol. 39, núm. 2, p. 281-308.
dc.identifier.issn1696-2281
dc.identifier.urihttp://hdl.handle.net/2117/88514
dc.description.abstractGeneralized linear mixed models are flexible tools for modeling non-normal data and are usefulfor accommodating overdispersion in Poisson regression models with random effects. Theirmain difficulty resides in the parameter estimation because there is no analytic solution for themaximization of the marginal likelihood. Many methods have been proposed for this purpose andmany of them are implemented in software packages. The purpose of this study is to comparethe performance of three different statistical principles –marginal likelihood, extended likelihood,Bayesian analysis – via simulation studies. Real data on contact wrestling are used for illustration.
dc.format.extent28 p.
dc.language.isoeng
dc.publisherInstitut d'Estadística de Catalunya
dc.relation.ispartofSORT. 2015, Vol. 39, Núm. 2
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.otherEstimation methods
dc.subject.otheroverdispersion
dc.subject.otherPoisson generalized linear mixed models
dc.subject.othersimulation study
dc.subject.otherstatistical principles
dc.subject.othersport injuries
dc.titleParameter estimation of Poisson generalized linear mixed models based on three different statistical principles: a simulation study
dc.typeArticle
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::62 Statistics::62F Parametric inference
dc.subject.amsClassificació AMS::62 Statistics::62J Linear inference, regression
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.rights.accessOpen Access
upcommons.citation.publishedtrue
upcommons.citation.publicationNameSORT
upcommons.citation.volume39
upcommons.citation.number2
upcommons.citation.startingPage281
upcommons.citation.endingPage308


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