We apply multivariate permutation tests as a basis for testing multiple hypotheses by invoking the closure method to control the Familywise Error Rate.

Permutational multivariate analysis of variance (PERMANOVA), is a non-parametric multivariate statistical permutation test. PERMANOVA is used to compare ...

The MPT.Corr function will perform a multivariate permutation test of correlations for a data matrix with one criterion variable and multiple predictor.

Permutation and nonparametric combination methods provide flexible solutions to complex problems by reducing the problem down to a set of simpler sub-problems.

Jan 17, 2024 · Here, we introduce PERMUTOOLS, a MATLAB package for multivariate permutation testing and effect size measurement.

The focus of the paper is on complex designs in analysis of variance and multiple regression (i.e., linear models). The assumption of exchangeability required ...

In a permutation test, variation among whole plots is assessed by restricting permutations such that all observations from the same whole plot are permuted ...

In this paper we show how to perform permutation tests for multiple comparisons and multiple variables simultaneously, while avoiding the problems associated ...

In this article, we consider the use of permutation tests for comparing mul- tivariate parameters from two populations. First, the underlying properties of.

Jun 10, 2024 · In this paper, we present a novel computationally efficient permutation algorithm which only requires the pre-computation of the 3 smaller ...