Some facts about functionals of location and scatter

dc.creatorDudley, R. M.
dc.date2006-12-22
dc.date.accessioned2026-07-07T08:08:30Z
dc.date.available2026-07-07T08:08:30Z
dc.descriptionAssumptions on a likelihood function, including a local Glivenko-Cantelli condition, imply the existence of M-estimators converging to an M-functional. Scatter matrix-valued estimators, defined on all empirical measures on ${\Bbb{R}}^d$ for $d\geq 2$, and equivariant under all, including singular, affine transformations, are shown to be constants times the sample covariance matrix. So, if weakly continuous, they must be identically 0. Results are stated on existence and differentiability of location and scatter functionals, defined on a weakly dense, weakly open set of laws, via elliptically symmetric t distributions on ${\Bbb{R}}^d$, following up on work of Kent, Tyler, and Dümbgen.
dc.descriptionPublished at http://dx.doi.org/10.1214/074921706000000860 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)
dc.identifierhttps://arxiv.org/abs/math/0612709
dc.identifierhttp://arxiv.org/abs/math/0612709
dc.identifierIMS Lecture Notes Monograph Series 2006, Vol. 51, 207-219
dc.identifierdoi:10.1214/074921706000000860
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/131285
dc.subjectStatistics Theory
dc.subject62G05, 62GH20 (Primary) 62G35 (Secondary)
dc.titleSome facts about functionals of location and scatter
dc.typetext

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