Add to ORKGSummary. Permutation tests based ondistances among multivariate observations have found many applications in the bi-ological sciences. Two major testing frameworks of this kind are multiresponse permutation procedures and pseudo-F tests arising from a distance-based extension of multivariate analysis of variance. In this article, we derive conditions under which these two frameworks are equivalent. The methods and equivalence results are illustrated by reanalyzing an ecological data set and by a novel application to functional magnetic resonance imaging data
AbstractThe paper presents some permutation test procedures for multivariate location. The tests are...
We consider robust permutation tests for a location shift in the two sample case based on estimating...
n the present paper we consider a group comparison in PLS-Path Modeling. The aim of this methodology...
Summary: Permutation tests based on distances among multivariate observations have found many applic...
Most multivariate tests are based on the hypothesis of multinormality. But often this hypothesis fai...
When analyzing ecological data, one considers traditional multivariate techniques to be unsuitable. ...
In this paper, we generalize the metric-based permutation test for the equality of covariance operat...
<p>Summary of the permutation test for differences in multivariate homogeneity of group dispersions ...
Motivated by applications in high-dimensional settings, we suggest a test of the hypothesis H-0 that...
For two p-dimensional data sets, interest exists in testing if they come from the common population ...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
The permutation approach for testing the equality of distributions and thereby comparing two populat...
In many scientific disciplines datasets contain many more variables than observational units (so-cal...
many When the number of variables exceeds the sample size in multivariate data, traditional mul-tiva...
When the data generation process does not satisfy some of the assumptions founding the statistical i...
AbstractThe paper presents some permutation test procedures for multivariate location. The tests are...
We consider robust permutation tests for a location shift in the two sample case based on estimating...
n the present paper we consider a group comparison in PLS-Path Modeling. The aim of this methodology...
Summary: Permutation tests based on distances among multivariate observations have found many applic...
Most multivariate tests are based on the hypothesis of multinormality. But often this hypothesis fai...
When analyzing ecological data, one considers traditional multivariate techniques to be unsuitable. ...
In this paper, we generalize the metric-based permutation test for the equality of covariance operat...
<p>Summary of the permutation test for differences in multivariate homogeneity of group dispersions ...
Motivated by applications in high-dimensional settings, we suggest a test of the hypothesis H-0 that...
For two p-dimensional data sets, interest exists in testing if they come from the common population ...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
The permutation approach for testing the equality of distributions and thereby comparing two populat...
In many scientific disciplines datasets contain many more variables than observational units (so-cal...
many When the number of variables exceeds the sample size in multivariate data, traditional mul-tiva...
When the data generation process does not satisfy some of the assumptions founding the statistical i...
AbstractThe paper presents some permutation test procedures for multivariate location. The tests are...
We consider robust permutation tests for a location shift in the two sample case based on estimating...
n the present paper we consider a group comparison in PLS-Path Modeling. The aim of this methodology...