Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/20984

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dc.contributor.authorFerreira, Marta Susana-
dc.date.accessioned2012-11-26T15:46:07Z-
dc.date.available2012-11-26T15:46:07Z-
dc.date.issued2012-11-26-
dc.identifier.issn0974-3235por
dc.identifier.urihttps://hdl.handle.net/1822/20984-
dc.descriptionProva tipográficapor
dc.description.abstractClassical linear ARMA with normal distributed noises are not suitable for heavy tailed phenomena. MARMA processes obtained by replacing summation by the maximum operator are more appropriate. We consider unit Fréchet first order MARMA, denoted MAR(1), and present a characterization based on ordinal autocorrelation. An estimator of the model's parameter and respective consistency and asymptotic normality properties are also stated.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT)por
dc.language.isoengpor
dc.publisherProbstat Forumpor
dc.rightsopenAccesspor
dc.subjectAutoregressive processespor
dc.subjectHeavy tailpor
dc.subjectEstimation of parameterspor
dc.subjectOrdinal autocorrelationpor
dc.titleParameter estimation and dependence characterization of the MAR(1) processpor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://probstat.org.in/por
sdum.publicationstatusin publicationpor
oaire.citationTitleProbStat Forumpor
sdum.journalProbstat Forumpor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals

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