Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/15799
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dc.contributor.authorDionísio, A.-
dc.contributor.authorMenezes, R.-
dc.contributor.authorMendes, D.A.-
dc.date.accessioned2018-05-14T10:36:50Z-
dc.date.available2018-05-14T10:36:50Z-
dc.date.issued2006-
dc.identifier.issn0924-090Xpor
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-14590-
dc.identifier.urihttp://hdl.handle.net/10071/15799-
dc.descriptionWOS:000238021700039 (Nº de Acesso Web of Science)-
dc.description.abstractThis paper presents a new test of independence (linear and non-linear) among distributions based on the entropy of Shannon. The main advantages of the presented approach are the fact that this measure does not need to assume any type of theoretical probability distribution and has the ability to capture the linear and non-linear dependencies, without requiring the specification of any kind of dependence model.por
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsopenAccesspor
dc.subjectEntropypor
dc.subjectIndependence testpor
dc.subjectMutual informationpor
dc.subjectNon-linear serial dependencepor
dc.subjectStock index marketspor
dc.titleEntropy-based independence testpor
dc.typearticleen_US
dc.pagination351-357por
dc.publicationstatusPublicadopor
dc.peerreviewedyespor
dc.journalNonlinear Dynamicspor
dc.distributionInternacionalpor
dc.volume44por
dc.number1-4por
degois.publication.firstPage351por
degois.publication.lastPage357por
degois.publication.issue1-4por
degois.publication.titleNonlinear Dynamicspor
dc.date.updated2018-05-14T10:36:07Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/s11071-006-2019-0-
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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