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.

156

Publications

44.8K

Citations

325

Authors

181

Institutions

Publications per year

2017–2026

25

Variants

Multivariate Permutation TestsMultivariate Randomization Tests

Authors

325

  1. PW
    Paul W. Mielke

    Colorado State University, United States

    9 publications · 774 citations

    9

    h-index

  2. MJ
    Marti J. Anderson

    Massey University, New Zealand

    7 publications · 23K citations

    7

    h-index

  3. KJ
    Kenneth J. Berry

    Colorado State University, United States

    6 publications · 552 citations

    6

    h-index

  4. LS
    Luigi Salmaso

    University of Padua, Italy

    5 publications · 131 citations

    5

    h-index

  5. RA
    Rosa Arboretti

    University of Padua, Italy

    4 publications · 98 citations

    4

    h-index

1–5 of 325

Venues

  1. 9

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  2. Biometrics

    7 publications · 3.7K citations

    7

    h-index

  3. Journal of Chemometrics

    6 publications · 510 citations

    6

    h-index

  4. Ecology

    6 publications · 4.8K citations

    6

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  5. 4

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1–5