Add to ORKGRecently, 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
Classical multivariate statistical inference methods (Hotelling’s T 2, mul-tivariate analysis of var...
In this paper, we have proposed two nonparametric tests for testing equal-ity of location parameters...
<div><p>This article presents and investigates performance of a series of robust multivariate nonpar...
Recently, new nonparametric multivariate extensions of the univariate sign methods have been propose...
An affine equivariant modification of the spatial median constructed using an adaptive transformatio...
Multivariate sign tests attracted several statisticians in the past, and it is evident from recent n...
The classical univariate sign and signed rank tests for location have been extended over the years t...
Randles' one sample multivariate sign test based on interdirections is extended to two sample and mu...
In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is d...
There are plenty of tests for multivariate location around which all make slightly different assumpt...
Consider a sample x1,..., xn from a p-variate elliptically symmetric dis-tribution with density f(x;...
We generalize signed rank statistics to dimensions higher than one. This results in a class of ortho...
Nonparametric procedures for testing and estimation of the shape matrix in the case of multivariate ...
The univariate median is a well-known location estimator, which is √n-consistent, asymptotically Gau...
Nonparametric control charts are useful in statistical process control (SPC) when there is a lack of...
Classical multivariate statistical inference methods (Hotelling’s T 2, mul-tivariate analysis of var...
In this paper, we have proposed two nonparametric tests for testing equal-ity of location parameters...
<div><p>This article presents and investigates performance of a series of robust multivariate nonpar...
Recently, new nonparametric multivariate extensions of the univariate sign methods have been propose...
An affine equivariant modification of the spatial median constructed using an adaptive transformatio...
Multivariate sign tests attracted several statisticians in the past, and it is evident from recent n...
The classical univariate sign and signed rank tests for location have been extended over the years t...
Randles' one sample multivariate sign test based on interdirections is extended to two sample and mu...
In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is d...
There are plenty of tests for multivariate location around which all make slightly different assumpt...
Consider a sample x1,..., xn from a p-variate elliptically symmetric dis-tribution with density f(x;...
We generalize signed rank statistics to dimensions higher than one. This results in a class of ortho...
Nonparametric procedures for testing and estimation of the shape matrix in the case of multivariate ...
The univariate median is a well-known location estimator, which is √n-consistent, asymptotically Gau...
Nonparametric control charts are useful in statistical process control (SPC) when there is a lack of...
Classical multivariate statistical inference methods (Hotelling’s T 2, mul-tivariate analysis of var...
In this paper, we have proposed two nonparametric tests for testing equal-ity of location parameters...
<div><p>This article presents and investigates performance of a series of robust multivariate nonpar...