Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/31658

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dc.contributor.authorFerreira, Helenapor
dc.contributor.authorFerreira, Marta Susanapor
dc.date.accessioned2014-12-05T11:58:33Z-
dc.date.available2014-12-05T11:58:33Z-
dc.date.issued2014-10-
dc.identifier.issn0167-7152por
dc.identifier.urihttps://hdl.handle.net/1822/31658-
dc.description.abstractThe well-known M4 processes of Smith and Weissman are very flexible models for asymptotically dependent multivariate data. Extended M4 of Heffernan et al. allows to also account for asymptotic independence. In this paper we introduce a more general multivariate model comprising asymptotic dependence and independence, which has the extended M4 class as a particular case. We study properties of the proposed model. In particular, we compute the multivariate extremal index, tail dependence and extremal coefficients.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.language.isoengpor
dc.publisherElsevier 1por
dc.relationHelena Ferreira was partially supported by the research unit ‘‘Centro de Matemática’’ of the University of Beira Interior and the research project PEst- OE/MAT/UI0212/2014 through the Foundation for Science and Technology (FCT) co-financed by FEDER/COMPETE. Marta Ferreira was financed by FEDER Funds through ‘‘Programa Operacional Factores de Competitividade—COMPETE’’ and by Portuguese Funds through FCT—‘‘Fundação para a Ciência e a Tecnologia’’, within the project PEst-OE/MAT/UI0013/2014por
dc.rightsrestrictedAccesspor
dc.subjectMultivariate extreme value theorypor
dc.subjectTail dependencepor
dc.subjectExtremal coefficientpor
dc.subjectAsymptotic independencepor
dc.titleExtremal behavior of pMAX processespor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0167715214002119#por
sdum.publicationstatuspublishedpor
oaire.citationStartPage46por
oaire.citationEndPage57por
oaire.citationTitleStatistics and Probability Letterspor
oaire.citationVolume93por
dc.identifier.doi10.1016/j.spl.2014.06.009por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.subject.wosScience & Technologypor
sdum.journalStatistics & Probability Letterspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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