Porovnat metody

	Diskriminační analýza	Nezávislý t-test
Obor	Statistika	Statistika
Rodina	Latent structure	Hypothesis test
Rok vzniku	1936	1908
Tvůrce	Ronald A. Fisher	Student (W. S. Gosset)
Typ	Supervised classification and dimension reduction	Parametric mean comparison
Původní zdroj	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.	Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25.
Další názvy	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Příbuzné	4	4
Shrnutí	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.	The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances.