Test de Kruskal-Wallis


Révision datée du 15 décembre 2020 à 19:07 par Pitpitt (discussion | contributions) (Remplacement de texte — « DeepAI.org ] » par « DeepAI.org ] Catégorie:DeepAI.org  »)

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Kruskal Wallis Test

The Kruskal-Wallis test, named after mathematicians William Kruskal and W. Allen Wallis, is a method for testing whether samples originate from the same group by comparing the medians of two ore more groups. Often, it is used when comparing two or more independent samples of equal or different sizes. The test is referred to as "non-parametric", meaning it does not specify the parameters of the distribution or is "distribution-free." The parametric equivalent to the Kruskal-Wallis test is called a one-way analysis of variance, or "ANOVA" for short. The results of the test indicate whether one sample stochastically dominates another sample (i.e. a sample's outcome changes the outcome of the following sample).



Source : DeepAI.org



Contributeurs: Imane Meziani, wiki