Publication:
Dimension reduction transformations in discriminant analysis

Simple item page
dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorVelilla Cerdan, Santiagoes
dc.contributor.authorHernández, Adolfoes
dc.date.accessioned2006-11-09T10:34:25Z
dc.date.available2006-11-09T10:34:25Z
dc.date.issued2001-11es
dc.description.abstractDimension 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 matriceses
dc.format.extent517344 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.repecws016614
dc.identifier.urihttps://hdl.handle.net/10016/176
dc.language.isoenges
dc.language.isoenges
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometricses
dc.relation.ispartofseries2001-14es
dc.rights.accessRightsopen access
dc.subject.ecienciaEstadística
dc.titleDimension reduction transformations in discriminant analysises
dc.typeworking paper*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ws016614.pdf
Size:
505.22 KB
Format:
Adobe Portable Document Format
Download
Collections
DES - Working Papers. Statistics and Econometrics. WS