Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/46970

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dc.contributor.authorFerreira, Marta Susanapor
dc.date.accessioned2017-11-02T14:02:45Z-
dc.date.issued2017-
dc.identifier.issn1538 - 9472por
dc.identifier.urihttps://hdl.handle.net/1822/46970-
dc.description.abstractThe Pickands dependence function characterizes an extreme value copula, a useful tool in the modeling of multivariate extremes. A new estimator is presented along with its convergence properties and performance through simulation.por
dc.description.sponsorshipThe author wishes to thank the reviewers for their careful reading and relevant comments that have improved this work. This research 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 UID/Multi/04621/2013.por
dc.language.isoengpor
dc.publisherWayne State University-
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.rightsclosedAccesspor
dc.subjectExtreme value copulapor
dc.subjectTail dependencepor
dc.subjectNonparametric estimationpor
dc.titleA new estimator for the Pickands dependence functionpor
dc.typearticlepor
dc.peerreviewedyespor
oaire.citationStartPage530por
oaire.citationEndPage563por
oaire.citationIssue1por
oaire.citationVolume16por
dc.identifier.doi10.22237/jmasm/1493597940por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technologypor
sdum.journalJournal of Modern Applied Statistical Methodspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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