Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Test exact de Fisher robuste× | Test exact de Fisher× | |
|---|---|---|
| Domaine | Statistique | Statistique |
| Famille | Hypothesis test | Hypothesis test |
| Année d'origine≠ | 1935 (base); mid-p robustification 1961+ | 1922 |
| Auteur d'origine≠ | Fisher (1935); mid-p extension by Lancaster (1961) and others | R. A. Fisher |
| Type≠ | Robust exact conditional test | Exact test of independence for categorical data |
| Source fondatrice≠ | Agresti, A. (2002). Categorical Data Analysis (2nd ed.). Wiley-Interscience. ISBN: 978-0471360933 | Fisher, R. A. (1922). On the interpretation of chi-squared from contingency tables, and the calculation of P. Journal of the Royal Statistical Society, 85(1), 87–94. DOI ↗ |
| Alias≠ | mid-p Fisher's exact test, robust exact test for contingency tables, conditional robust Fisher test, Fisher mid-p test | Fisher-Irwin test, exact test of independence, Fisher'ın Kesin Testi |
| Apparentées≠ | 3 | 2 |
| Résumé≠ | The robust Fisher's exact test extends Fisher's classic exact test for contingency tables by applying conservative-correcting adjustments — most commonly the mid-p correction — to reduce the extreme conservatism of the standard exact test. This produces better-calibrated Type I error rates while maintaining validity in small and sparse samples. | Fisher's exact test is a nonparametric exact-probability test of independence for small-sample contingency tables, introduced by R. A. Fisher in 1922. Rather than relying on a large-sample approximation, it computes the exact probability of the observed table directly from the hypergeometric distribution. |
| ScholarGateJeu de données ↗ |
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