Permutation tests for mixed paired and two-sample designs

Permutation tests based on previously developed statistics are proposed for the case of mixed paired and two-sample designs. Different weighting schemes of previous tests are explored to understand the strengths and weaknesses of each test. A simulation study compares the power and Type I error rate...

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Veröffentlicht in:Computational statistics 2022-04, Vol.37 (2), p.739-750
Hauptverfasser: Johnson, E. N., Richter, S. J.
Format: Artikel
Sprache:eng
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Zusammenfassung:Permutation tests based on previously developed statistics are proposed for the case of mixed paired and two-sample designs. Different weighting schemes of previous tests are explored to understand the strengths and weaknesses of each test. A simulation study compares the power and Type I error rates of the new tests with those previously developed. Rank-based statistics generally performed as well as or better than parametric statistics, particularly for nonnormal distributions.
ISSN:0943-4062
1613-9658
DOI:10.1007/s00180-021-01137-9