dc.date.accessioned2021-08-23T22:59:51Z
dc.date.accessioned2022-10-19T00:33:14Z
dc.date.available2021-08-23T22:59:51Z
dc.date.available2022-10-19T00:33:14Z
dc.date.created2021-08-23T22:59:51Z
dc.date.issued2016
dc.identifierhttp://hdl.handle.net/10533/252710
dc.identifier1150325
dc.identifierWOS:000380594800010
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4483973
dc.description.abstractWe study some of the main probabilistic properties of the so called multivariate skew normal-Cauchy distribution. Simple expressions to compute the entries of the expected Fisher information matrix of this multivariate distribution are proposed. (C) 2016 Elsevier B.V. All rights reserved.
dc.languageeng
dc.relationhttps://doi.org/10.1016/j.spl.2016.05.005
dc.relationhandle/10533/111557
dc.relation10.1016/j.spl.2016.05.005
dc.relationhandle/10533/111541
dc.relationhandle/10533/108045
dc.rightsinfo:eu-repo/semantics/article
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleOn the multivariate skew-normal-Cauchy distribution
dc.typeArticulo


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