Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/61561

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dc.contributor.authorFerreira, Helenapor
dc.contributor.authorFerreira, Marta Susanapor
dc.date.accessioned2019-10-01T14:31:56Z-
dc.date.available2019-10-01T14:31:56Z-
dc.date.issued2019-
dc.identifier.issn0361-0926por
dc.identifier.urihttps://hdl.handle.net/1822/61561-
dc.description.abstractThe Ledford and Tawn model for the bivariate tail incorporates a coefficient, $\eta$, as a measure of pre-asymptotic dependence between the marginals. However, in the limiting bivariate extreme value model, $G$, of suitably normalized component-wise maxima, it is just a shape parameter without reflecting any description of the dependency in $G$. Under some local dependence conditions, we consider an index that describes the pre-asymptotic dependence in this context. We analyze some particular cases considered in the literature and illustrate with examples. A small discussion on inference is presented at the end.por
dc.description.sponsorshipThe first author’s research was partially supported by the research unit UID/MAT/00212/2013. The second author was financed by Portuguese Funds through FCT - Fundação para a Ciência e a Tecnologia within the Projects UID/MAT/00013/2013, UID/MAT/00006/2013 and by the research center CEMAT (Instituto Superior Técnico, Universidade de Lisboa) through the Project UID/Multi/04621/2013.por
dc.language.isoengpor
dc.publisherTaylor & Francispor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147370/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147410/PTpor
dc.rightsopenAccesspor
dc.subjectExtreme value theorypor
dc.subjectStationary sequencespor
dc.subjectAsymptotic dependencepor
dc.subjectDependence conditionspor
dc.titleAsymptotic dependence of bivariate maximapor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://doi.org/10.1080/03610926.2018.1475568por
oaire.citationStartPage3269por
oaire.citationEndPage3279por
oaire.citationIssue13por
oaire.citationVolume48por
dc.identifier.eissn1532-415Xpor
dc.identifier.doi10.1080/03610926.2018.1475568por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.subject.wosScience & Technologypor
sdum.journalCommunications in Statistics - Theory and Methodspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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