Methoden vergleichen

	Diskriminanzanalyse	Hotelling's T²-Test
Fachgebiet	Statistik	Statistik
Familie	Latent structure	Hypothesis test
Entstehungsjahr	1936	1931
Urheber	Ronald A. Fisher	Harold Hotelling
Typ	Supervised classification and dimension reduction	Multivariate parametric mean comparison
Wegweisende Quelle	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378.
Aliasnamen	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Verwandt	4	6
Zusammenfassung	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.	Hotelling's T² test is a multivariate parametric hypothesis test that simultaneously compares the mean vectors of two independent groups across multiple continuous outcome variables. It was introduced by Harold Hotelling in 1931 as the direct multivariate generalization of Student's t-test, replacing the scalar mean difference with a vector difference scaled by the pooled variance-covariance matrix.