Dimension reduction transformations in discriminant analysis

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dc.contributor.author Velilla Cerdan, Santiago
dc.contributor.author Hernández, Adolfo
dc.date.accessioned 2006-11-09T10:34:25Z
dc.date.available 2006-11-09T10:34:25Z
dc.date.issued 2001-11
dc.identifier.uri http://hdl.handle.net/10016/176
dc.description.abstract Dimension reduction transformations in discriminant analysis are introduced. Their properties, as well as sufficient conditions for their characterization, are studied. Special attention is given to the continuous case, of particular importance in applications. An effective data based dimension reduction algorithm is proposed and its behavior illustrated in a classification problem where the class conditional probability distributions are multivariate normal with different covariance matrices
dc.format.extent 517344 bytes
dc.format.mimetype application/pdf
dc.language.iso eng
dc.language.iso eng
dc.relation.ispartofseries UC3M Working Papers. Statistics and Econometrics
dc.relation.ispartofseries 2001-14
dc.title Dimension reduction transformations in discriminant analysis
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws016614
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