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Multivarijatna analiza varijance (MANOVA)×Jednosmjerna analiza varijance×
PodručjeStatistikaStatistika
ObiteljHypothesis testHypothesis test
Godina nastanka19321925
TvoracSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)Ronald A. Fisher
VrstaParametric multivariate mean comparisonParametric mean comparison
Temeljni izvorTabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Drugi naziviMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Srodne54
SažetakMANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
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ScholarGateUsporedite metode: MANOVA · One-way ANOVA. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare