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Robust Friedman test/Evidence
Method evidence record

Robust Friedman test

The robust Friedman test is a nonparametric procedure for comparing three or more related (within-subjects) conditions that replaces standard ranking or mean-based summaries with robust location estimates — typically trimmed means or Winsorized statistics — to reduce the influence of outliers and heavy-tailed distributions on the inference.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Robust Friedman Test for Repeated Measures
Taxonomic method record · hypothesis-test / statistics
  • Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. · ISBN 978-0123869838
  • Friedman, M. (1937). The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200), 675–701. · DOI 10.1080/01621459.1937.10503522
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Related methods

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Same method familyFriedman testmachine-suggested · Relational suggestion, not evidence.Same method familyRepeated-measures ANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Kruskal-Wallis testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust paired samples t-testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust repeated measures ANOVAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Wilcoxon signed-rank testmachine-suggested · Relational suggestion, not evidence.

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Sources

2 recorded citations, copied from the method source record.

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