Influence functions of two families of robust estimators under proportional scatter matrices

In this paper, under a proportional model, two families of robust estimates for the proportionality constants, the common principal axes and their size are discussed. The first approach is obtained by plugging robust scatter matrices on the maximum likelihood equations for normal data. A projection-...

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Autores principales: Boente, G., Critchley, F., Orellana, L.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_16182510_v15_n3_p295_Boente
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spelling todo:paper_16182510_v15_n3_p295_Boente2023-10-03T16:28:28Z Influence functions of two families of robust estimators under proportional scatter matrices Boente, G. Critchley, F. Orellana, L. Partial influence curves Projection-pursuit Proportional scatter models Robust estimation Robust scatter matrices In this paper, under a proportional model, two families of robust estimates for the proportionality constants, the common principal axes and their size are discussed. The first approach is obtained by plugging robust scatter matrices on the maximum likelihood equations for normal data. A projection- pursuit and a modified projection-pursuit approach, adapted to the proportional setting, are also considered. For all families of estimates, partial influence functions are obtained and asymptotic variances are derived from them. The performance of the estimates is compared through a Monte Carlo study. © 2006 Springer-Verlag. Fil:Boente, G. 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_16182510_v15_n3_p295_Boente
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Partial influence curves
Projection-pursuit
Proportional scatter models
Robust estimation
Robust scatter matrices
spellingShingle Partial influence curves
Projection-pursuit
Proportional scatter models
Robust estimation
Robust scatter matrices
Boente, G.
Critchley, F.
Orellana, L.
Influence functions of two families of robust estimators under proportional scatter matrices
topic_facet Partial influence curves
Projection-pursuit
Proportional scatter models
Robust estimation
Robust scatter matrices
description In this paper, under a proportional model, two families of robust estimates for the proportionality constants, the common principal axes and their size are discussed. The first approach is obtained by plugging robust scatter matrices on the maximum likelihood equations for normal data. A projection- pursuit and a modified projection-pursuit approach, adapted to the proportional setting, are also considered. For all families of estimates, partial influence functions are obtained and asymptotic variances are derived from them. The performance of the estimates is compared through a Monte Carlo study. © 2006 Springer-Verlag.
format JOUR
author Boente, G.
Critchley, F.
Orellana, L.
author_facet Boente, G.
Critchley, F.
Orellana, L.
author_sort Boente, G.
title Influence functions of two families of robust estimators under proportional scatter matrices
title_short Influence functions of two families of robust estimators under proportional scatter matrices
title_full Influence functions of two families of robust estimators under proportional scatter matrices
title_fullStr Influence functions of two families of robust estimators under proportional scatter matrices
title_full_unstemmed Influence functions of two families of robust estimators under proportional scatter matrices
title_sort influence functions of two families of robust estimators under proportional scatter matrices
url http://hdl.handle.net/20.500.12110/paper_16182510_v15_n3_p295_Boente
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AT critchleyf influencefunctionsoftwofamiliesofrobustestimatorsunderproportionalscattermatrices
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