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विवेचक विश्लेषण×बहुभिन्नरूपी प्रसरण विश्लेषण (MANOVA)×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारLatent structureHypothesis test
उद्भव वर्ष19361932
प्रवर्तकRonald A. FisherSamuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
प्रकारSupervised classification and dimension reductionParametric multivariate mean comparison
मौलिक स्रोतFisher, 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
उपनामLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisMultivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
संबंधित45
सारांशDiscriminant 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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ScholarGateविधियों की तुलना करें: Discriminant Analysis · MANOVA. 2026-06-20 को यहाँ से प्राप्त https://scholargate.app/hi/compare