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dc.creatorHenze, Norbertes
dc.creatorJiménez Gamero, María Doloreses
dc.creatorMeintanis, Simos G.es
dc.date.accessioned2022-11-03T07:52:30Z
dc.date.available2022-11-03T07:52:30Z
dc.date.issued2018-05-22
dc.identifier.citationHenze, N., Jiménez Gamero, M.D. y Meintanis, S.G. (2018). Characterizations of multinormality and corresponding tests of fit, including for Garch models. Econometric theory, 35 (3), 510-546. https://doi.org/10.48550/arXiv.1706.03029.
dc.identifier.issn0266-4666es
dc.identifier.issn1469-4360es
dc.identifier.urihttps://hdl.handle.net/11441/138647
dc.description.abstractWe provide novel characterizations of multivariate normality that incorporate both the characteristic function and the moment generating function, and we employ these results to construct a class of affine invariant, consistent and easy-to-use goodness-of-fit tests for normality. The test statistics are suitably weighted L2-statistics, and we provide their asymptotic behavior both for i.i.d. observations as well as in the context of testing that the innovation distribution of a multivariate GARCH model is Gaussian. We also study the finite-sample behavior of the new tests and compare the new criteria with alternative existing tests.es
dc.formatapplication/pdfes
dc.format.extent36 p.es
dc.language.isoenges
dc.publisherCornell Universityes
dc.relation.ispartofEconometric theory, 35 (3), 510-546.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCharacteristic functiones
dc.subjectMoment generating functiones
dc.subjectGoodness-of-fit testes
dc.subjectmultivariate normalityes
dc.subjectGaussian GARCH modeles
dc.titleCharacterizations of multinormality and corresponding tests of fit, including for Garch modelses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Estadística e Investigación Operativaes
dc.relation.publisherversionhttps://doi.org/10.48550/arXiv.1706.03029es
dc.identifier.doi10.48550/arXiv.1706.03029es
dc.contributor.groupUniversidad de Sevilla. FQM153: Estadística e Investigación Operativaes
dc.journaltitleEconometric theoryes
dc.publication.volumen35es
dc.publication.issue3es
dc.publication.initialPage510es
dc.publication.endPage546es

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