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Depth-based inference for functional data

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.contributor.authorLópez Pintado, Saraes
dc.contributor.authorRomo, Juanes
dc.date.accessioned2006-11-09T10:59:41Z
dc.date.available2006-11-09T10:59:41Z
dc.date.issued2006-05es
dc.description.abstractWe propose robust inference tools for functional data based on the notion of depth for curves. We extend the ideas of trimmed regions, contours and central regions to functions and study their structural properties and asymptotic behavior. Next, we introduce a scale curve to describe dispersion in a sample of functions. The computational burden of these techniques is not heavy and so they are also adequate to analyze high-dimensional data. All these inferential methods are applied to different real data sets.es
dc.format.extent557852 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.repecws063113
dc.identifier.urihttps://hdl.handle.net/10016/244
dc.language.isoenges
dc.relation.ispartofseriesUC3M Working Papers. Statistics and Econometricses
dc.relation.ispartofseries2006-13es
dc.rights.accessRightsopen access
dc.subject.ecienciaEstadística
dc.titleDepth-based inference for functional dataes
dc.typeworking paper*
dspace.entity.typePublication
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