Icke-parametriska test för k grupper
8 metoder i denna familj.
I urval
Dunns multipeljämförelsetestDunn's test is a nonparametric post-hoc procedure introduced by Olive Jean Dunn in 1964 to identify which specific pairs of groups differ significantly after a Kruskal-Wallis test Friedman-testThe Friedman test is a nonparametric hypothesis test that compares three or more related conditions measured on the same blocks or subjects, serving as the rank-based alternative tGradient BoostingGradient Boosting is an ensemble learning method, formalised by Jerome H. Friedman in 2001, that combines a sequence of weak learners — typically shallow decision trees — so that eKruskal-Wallis H-testThe Kruskal-Wallis H test is a nonparametric hypothesis test that compares three or more independent groups to decide whether their distributions (typically their medians) differ. Neményi post hoc-test för FriedmanThe Nemenyi test is a nonparametric post-hoc multiple comparison procedure introduced by Peter Nemenyi in his 1963 Princeton doctoral thesis. It is applied after a significant FrieIcke-parametriska statistiska testerNonparametric (distribution-free) tests are statistical methods for hypothesis testing that do not assume data follow a specific probability distribution (e.g., normal), making the
Läsväg
Det här ämnets mest refererade grundläggande metoder, i den ordning de utvecklades — en bra startpunkt om du är ny här.