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A NOTE ON A MULTIVARIATE GENERALIZATION OF THE KRUSKAL‐WALLIS TEST
Author(s) -
Horrell James F.,
Lessig V. Parker
Publication year - 1975
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1975.tb01003.x
Subject(s) - multivariate analysis of variance , multivariate statistics , nonparametric statistics , generalization , multivariate analysis , test (biology) , econometrics , statistics , variance (accounting) , mathematics , kruskal–wallis one way analysis of variance , computer science , economics , mann–whitney u test , paleontology , mathematical analysis , accounting , biology
Marketers are often interested in testing whether the mean vectors of multivariate distributions are equal. The test usually applied, one‐way MANOVA, assumes the distributions are multinormal. Unfortunately, this assumption is not supported in many studies. As an alternative, a nonparametric multivariate one‐way analysis of variance procedure is presented.