New influence measures in polytomous logistic regression models based on phi-divergence measures

dc.contributor.authorMartín Apaolaza, Níriam
dc.contributor.authorPardo Llorente, Leandro
dc.date.accessioned2023-06-19T13:24:51Z
dc.date.available2023-06-19T13:24:51Z
dc.date.issued2014
dc.description.abstractWe consider the asymptotic distribution of divergence-based influence measures which are an extension for polytomous logistic regression of an influence measure proposed in Johnson (1985), for binary logistic regression. A numerical example compares the classical Cook's distance with the divergence based influence measures.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/26202
dc.identifier.citationMartÍn, Nirian, y Leandro Pardo. «New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures». Communications in Statistics - Theory and Methods, vol. 43, n.o 10-12, mayo de 2014, pp. 2311-21. DOI.org (Crossref), https://doi.org/10.1080/03610926.2013.839038.
dc.identifier.doi10.1080/03610926.2013.839038
dc.identifier.issn0361-0926
dc.identifier.officialurlhttps://doi.org/10.1080/03610926.2013.839038
dc.identifier.relatedurlhttp://www.tandfonline.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/33601
dc.issue.number10-12
dc.journal.titleCommunications in Statistics - Theory and Methods
dc.page.final2321
dc.page.initial2311
dc.publisherTaylor & Francis
dc.relation.projectIDMTM 2012-3374
dc.relation.projectIDECO-2011-25706
dc.rights.accessRightsmetadata only access
dc.subject.cdu519.2
dc.subject.keywordDivergence measures
dc.subject.keywordCook's distance
dc.subject.keywordPolytomous regression model
dc.subject.keywordPrimary 62H15
dc.subject.keywordSecondary 62H17
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleNew influence measures in polytomous logistic regression models based on phi-divergence measures
dc.typejournal article
dc.volume.number43
dspace.entity.typePublication
relation.isAuthorOfPublicationa6409cba-03ce-4c3b-af08-e673b7b2bf58
relation.isAuthorOfPublication.latestForDiscoverya6409cba-03ce-4c3b-af08-e673b7b2bf58
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