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dc.contributor.authorFerreira, Helenapor
dc.contributor.authorFerreira, Marta Susanapor
dc.date.accessioned2018-02-19T13:56:27Z-
dc.date.issued2018-
dc.identifier.issn0167-7152por
dc.identifier.urihttps://hdl.handle.net/1822/50646-
dc.description.abstractExtreme value modeling has been attracting the attention of researchers in diverse areas such as the environment, engineering, and finance. Multivariate extreme value distributions are particularly suitable to model the tails of multidimensional phenomena. The analysis of the dependence among multivariate maxima is useful to evaluate risk. Here we present new multivariate extreme value models, as well as, coefficients to assess multivariate extremal dependence.por
dc.description.sponsorshipThe authors wish to thank the reviewers for their careful reading and relevant comments that have improved this work. The 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.publisherElsevier 1por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147408/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147370/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147410/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147271/PTpor
dc.rightsrestrictedAccesspor
dc.subjectMultivariate extreme value modelspor
dc.subjectTail dependencepor
dc.subjectExtremal coefficientspor
dc.subjectRandom fieldspor
dc.titleMultidimensional extremal dependence coefficientspor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionwww.elsevier.com/locate/stapropor
oaire.citationStartPage1por
oaire.citationEndPage8por
oaire.citationVolume133por
dc.identifier.doi10.1016/j.spl.2017.09.018por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.journalStatistics and Probability Letterspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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