Sammenlign metoder

	Diskriminantanalyse	Hotellings T²-test
Fagfelt	Statistikk	Statistikk
Familie	Latent structure	Hypothesis test
Opprinnelsesår	1936	1931
Opphavsperson	Ronald A. Fisher	Harold Hotelling
Type	Supervised classification and dimension reduction	Multivariate parametric mean comparison
Opprinnelig kilde	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.
Alias	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Relaterte	4	6
Sammendrag	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.