SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs

Recently, new nonparametric multivariate extensions of the univariate sign methods have been proposed. Randles (2000) introduced an affine invariant multivariate sign test for the multivariate location problem. Later on, Hettmansperger and Randles (2002) considered an affine equivariant multivariate...

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Bibliographic Details
Main Authors: Jaakko Nevalainen, Hannu Oja
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2006-05-01
Series:Journal of Statistical Software
Subjects:
SAS
Online Access:http://www.jstatsoft.org/v16/i05/paper
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spelling doaj-72f957ecc79e4ba598bede015def02502020-11-24T22:43:06ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602006-05-01165SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial SignsJaakko NevalainenHannu OjaRecently, new nonparametric multivariate extensions of the univariate sign methods have been proposed. Randles (2000) introduced an affine invariant multivariate sign test for the multivariate location problem. Later on, Hettmansperger and Randles (2002) considered an affine equivariant multivariate median corresponding to this test. The new methods have promising efficiency and robustness properties. In this paper, we review these developments and compare them with the classical multivariate analysis of variance model. A new SAS/IML tool for performing a spatial sign based multivariate analysis of variance is introduced.http://www.jstatsoft.org/v16/i05/paperaffine invariance/equivariancespatial signmultivariate analysis of variancemultivariate sign testmultivariate medianSAS
collection DOAJ
language English
format Article
sources DOAJ
author Jaakko Nevalainen
Hannu Oja
spellingShingle Jaakko Nevalainen
Hannu Oja
SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
Journal of Statistical Software
affine invariance/equivariance
spatial sign
multivariate analysis of variance
multivariate sign test
multivariate median
SAS
author_facet Jaakko Nevalainen
Hannu Oja
author_sort Jaakko Nevalainen
title SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
title_short SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
title_full SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
title_fullStr SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
title_full_unstemmed SAS/IML Macros for a Multivariate Analysis of Variance Based on Spatial Signs
title_sort sas/iml macros for a multivariate analysis of variance based on spatial signs
publisher Foundation for Open Access Statistics
series Journal of Statistical Software
issn 1548-7660
publishDate 2006-05-01
description Recently, new nonparametric multivariate extensions of the univariate sign methods have been proposed. Randles (2000) introduced an affine invariant multivariate sign test for the multivariate location problem. Later on, Hettmansperger and Randles (2002) considered an affine equivariant multivariate median corresponding to this test. The new methods have promising efficiency and robustness properties. In this paper, we review these developments and compare them with the classical multivariate analysis of variance model. A new SAS/IML tool for performing a spatial sign based multivariate analysis of variance is introduced.
topic affine invariance/equivariance
spatial sign
multivariate analysis of variance
multivariate sign test
multivariate median
SAS
url http://www.jstatsoft.org/v16/i05/paper
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AT hannuoja sasimlmacrosforamultivariateanalysisofvariancebasedonspatialsigns
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