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Permutation Test/Evidence
Method evidence record

Permutation Test

The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value.

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Source record

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

Permutation (Randomization) Test
Taxonomic method record · regression-model / statistics
  • Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. · ISBN 978-0387202792
  • Edgington, E. S., & Onghena, P. (2007). Randomization Tests (4th ed.). CRC Press. · ISBN 978-1584885894
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyBootstrap Inferencemachine-suggested · Relational suggestion, not evidence.Same method familyJackknifemachine-suggested · Relational suggestion, not evidence.Same method familyRobust Correlationmachine-suggested · Relational suggestion, not evidence.Same method familyTrimmed Mean Testmachine-suggested · Relational suggestion, not evidence.Same method familyWinsorized Estimationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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