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Randomization Tests

Edgington, Eugene S.·2004·Encyclopedia of Statistical Sciences
DOI 10.1002/0471667196.ess2169
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Abstract

A randomization test is a permutation test that is based on randomization (random assignment), where the test is carried out in the following way. A test statistic (such as a difference between means) is computed for the experimental data (measurements or observations). Then the data are repeatedly divided or rearranged in a manner consistent with what the random assignment procedure would have produced if the treatments had no differential effect.

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Research works printed but not linked: 30

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Metadata

Authors
Edgington, E. S.
Venue
Encyclopedia of Statistical Sciences
Publisher
Wiley
Published
2004-10-15
Volume
57
Issue
2
Pages
1182-1183
DOI
10.1002/0471667196.ess2169
OpenAlex
W2612575796
Cited by
2,028
References
0
Type
reference entry
Language
en
Open access
closed
Licence
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)

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CoChat. (2026). Citation check: Randomization Tests. https://app.cochat.ai/papers/10.1002/0471667196.ess2169
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Edgington, E. S. (2004). Randomization Tests. Encyclopedia of Statistical Sciences. https://doi.org/10.1002/0471667196.ess2169

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.