Сравнение на методи

	Дискриминантен анализ	t-тест за независими извадки
Област	Статистика	Статистика
Семейство	Latent structure	Hypothesis test
Година на възникване	1936	1908
Създател	Ronald A. Fisher	Student (W. S. Gosset)
Тип	Supervised classification and dimension reduction	Parametric mean comparison
Основополагащ източник	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.
Други названия	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Свързани	4	4
Резюме	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.