Projection estimates of multivariate location

In this paper we study the maximum asymptotic bias of the projection estimate for multivariate location based on univariate estimates of location and dispersion. In particular we study the projection estimate that uses the median and median absolute deviation about the median (MAD) as univariate loc...

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Autores principales: Adrover, J., Yohai, V.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_00905364_v30_n6_p1760_Adrover
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spelling todo:paper_00905364_v30_n6_p1760_Adrover2023-10-03T14:54:41Z Projection estimates of multivariate location Adrover, J. Yohai, V. Maximum bias Multivariate location Projection estimates Robust estimates In this paper we study the maximum asymptotic bias of the projection estimate for multivariate location based on univariate estimates of location and dispersion. In particular we study the projection estimate that uses the median and median absolute deviation about the median (MAD) as univariate location and dispersion estimates respectively. This estimator may be considered a natural affine equivariant multivariate median. For spherical distributions the maximum bias of this estimate depends only on the marginal distributions, and not on the dimension, and is approximately twice the maximum bias of the univariate median. We also show that for multivariate normal distributions, its maximum bias compares favorably with those of the Donoho-Stahel, minimum volume ellipsoid and minimum covariance determinant estimates. In all these cases the maximum bias increases with the dimension p. Fil:Adrover, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00905364_v30_n6_p1760_Adrover
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Maximum bias
Multivariate location
Projection estimates
Robust estimates
spellingShingle Maximum bias
Multivariate location
Projection estimates
Robust estimates
Adrover, J.
Yohai, V.
Projection estimates of multivariate location
topic_facet Maximum bias
Multivariate location
Projection estimates
Robust estimates
description In this paper we study the maximum asymptotic bias of the projection estimate for multivariate location based on univariate estimates of location and dispersion. In particular we study the projection estimate that uses the median and median absolute deviation about the median (MAD) as univariate location and dispersion estimates respectively. This estimator may be considered a natural affine equivariant multivariate median. For spherical distributions the maximum bias of this estimate depends only on the marginal distributions, and not on the dimension, and is approximately twice the maximum bias of the univariate median. We also show that for multivariate normal distributions, its maximum bias compares favorably with those of the Donoho-Stahel, minimum volume ellipsoid and minimum covariance determinant estimates. In all these cases the maximum bias increases with the dimension p.
format JOUR
author Adrover, J.
Yohai, V.
author_facet Adrover, J.
Yohai, V.
author_sort Adrover, J.
title Projection estimates of multivariate location
title_short Projection estimates of multivariate location
title_full Projection estimates of multivariate location
title_fullStr Projection estimates of multivariate location
title_full_unstemmed Projection estimates of multivariate location
title_sort projection estimates of multivariate location
url http://hdl.handle.net/20.500.12110/paper_00905364_v30_n6_p1760_Adrover
work_keys_str_mv AT adroverj projectionestimatesofmultivariatelocation
AT yohaiv projectionestimatesofmultivariatelocation
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