Permutation Tests For Multivariate Data
Permutation Tests for Multivariate Data is a nonparametric statistical method that assesses the significance of group differences or associations in multivariate datasets by repeatedly reallocating observed data points across groups to generate an empirical null distribution, thereby preserving the multivariate structure while making minimal distributional assumptions.
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2017–2026
25
Variants
Multivariate Permutation TestsMultivariate Randomization Tests
Parents
156
A new method for non‐parametric multivariate analysis of variance
Marti J. Anderson · Austral Ecology · 2001 · 13.3K citations
Distance‐Based Tests for Homogeneity of Multivariate Dispersions
Marti J. Anderson · Biometrics · 2005 · 3.1K citations
Computing, Biostatistics, Ecology +13
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University of Padua
Padua, Italy
11 h-index
22 publications
626 citations
Colorado State University
Fort Collins, United States
10 h-index
22 publications
1.5K citations

University of Auckland
Auckland, New Zealand
5 h-index
7 publications
25.6K citations
University of Florida
Gainesville, United States
4 h-index
6 publications
156 citations

Pennsylvania State University
State College, United States
4 h-index
5 publications
232 citations
Stanford University
Stanford, United States
4 h-index
5 publications
272 citations

Vanderbilt University
Nashville, United States
4 h-index
10 publications
654 citations
University of Ferrara
Ferrara, Italy
4 h-index
6 publications
141 citations
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9 publications · 618 citations
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