השוואת שיטות

	ניתוח מבחין	ניתוח שונות רב-משתני (MANOVA)
תחום	סטטיסטיקה	סטטיסטיקה
משפחה	Latent structure	Hypothesis test
שנת המקור	1936	1932
הוגה השיטה	Ronald A. Fisher	Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.)
סוג	Supervised classification and dimension reduction	Parametric multivariate mean comparison
מקור מכונן	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574
כינויים	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA)
קשורות	4	5
תקציר	Discriminant 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.