dc.creatorBOLFARINE, Heleno
dc.creatorGOMEZ, Hector W.
dc.creatorRIVAS, Luisa I.
dc.date.accessioned2012-10-20T04:44:50Z
dc.date.accessioned2018-07-04T15:46:24Z
dc.date.available2012-10-20T04:44:50Z
dc.date.available2018-07-04T15:46:24Z
dc.date.created2012-10-20T04:44:50Z
dc.date.issued2011
dc.identifierJOURNAL OF CHEMOMETRICS, v.25, n.6, p.329-332, 2011
dc.identifier0886-9383
dc.identifierhttp://producao.usp.br/handle/BDPI/30526
dc.identifier10.1002/cem.1378
dc.identifierhttp://dx.doi.org/10.1002/cem.1378
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1627165
dc.description.abstractThe main objective of this paper is to study a logarithm extension of the bimodal skew normal model introduced by Elal-Olivero et al. [1]. The model can then be seen as an alternative to the log-normal model typically used for fitting positive data. We study some basic properties such as the distribution function and moments, and discuss maximum likelihood for parameter estimation. We report results of an application to a real data set related to nickel concentration in soil samples. Model fitting comparison with several alternative models indicates that the model proposed presents the best fit and so it can be quite useful in real applications for chemical data on substance concentration. Copyright (C) 2011 John Wiley & Sons, Ltd.
dc.languageeng
dc.publisherWILEY-BLACKWELL
dc.relationJournal of Chemometrics
dc.rightsCopyright WILEY-BLACKWELL
dc.rightsrestrictedAccess
dc.subjectmaximum likelihood
dc.subjectstochastic representation
dc.subjectgeochemical data
dc.titleThe log-bimodal-skew-normal model. A geochemical application
dc.typeArtículos de revistas


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