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Diferentsiaalanalyys×Multivariatsiooniline dispersioonanalüüs (MANOVA)×
ValdkondStatistikaStatistika
PerekondLatent structureHypothesis test
Tekkeaasta19361932
LoojaRonald A. FisherSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
TüüpSupervised classification and dimension reductionParametric multivariate mean comparison
AlgallikasFisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
RööpnimetusedLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
Seotud45
KokkuvõteDiscriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.MANOVA 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.
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ScholarGateVõrdle meetodeid: Discriminant Analysis · MANOVA. Loetud 2026-06-20 aadressilt https://scholargate.app/et/compare