Skew-symmetric distributions generated by the distribution function of the normal distribution

dc.contributor.authorGómez, H.W.
dc.contributor.authorVenegas Torres, Osvaldo
dc.contributor.authorBolfarine, H.
dc.date2007
dc.date.accessioned2012-02-25T21:23:20Z
dc.date.available2012-02-25T21:23:20Z
dc.date.issued2012-02-25
dc.description.abstractIn this paper we study a general family of skew-symmetric distributions which are generated by the cumulative distribution of the normal distribution. For some distributions, moments are computed which allows computing asymmetry and kurtosis coefficients. It is shown that the range for asymmetry and kurtosis parameters is wider than for the family of models introduced by Nadarajah and Kotz (2003). For the skew-t-normal model, we discuss approaches for obtaining maximum likelihood estimators and derive the Fisher information matrix, discussing some of its properties and special cases. We report results of an application to a real data set related to nickel concentration in soil samples.es
dc.formatPDFes
dc.identifier.citationEnvironmetrics, Vol.18, N°4, 395-407, 2007es
dc.identifier.doi10.1002/env.817es
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/743
dc.language.isoenes
dc.sourceEnvironmetricses
dc.subjectMatemáticases
dc.titleSkew-symmetric distributions generated by the distribution function of the normal distributiones
dc.typeArtículo de Revistaes
uct.carreraPlan Común Ingenieríaes
uct.catalogadorFGEes
uct.comunidadIngenieríaes
uct.facultadFacultad de Ingenieríaes
uct.indizacionISIes
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