Salīdzināt metodes

	Lineārā diskriminantā analīze	Hotellinga T² tests
Nozare	Statistika	Statistika
Saime	Latent structure	Hypothesis test
Izcelsmes gads	1936	1931
Autors	Ronald A. Fisher	Harold Hotelling
Tips	Supervised classification and dimension reduction	Multivariate parametric mean comparison
Pirmavots	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.
Citi nosaukumi	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	Hotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Saistītās	4	6
Kopsavilkums	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.