Comparar métodos

	Análise Discriminante	Teste t para amostras independentes
Área	Estatística	Estatística
Família	Latent structure	Hypothesis test
Ano de origem	1936	1908
Autor original	Ronald A. Fisher	Student (W. S. Gosset)
Tipo	Supervised classification and dimension reduction	Parametric mean comparison
Fonte seminal	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.
Outros nomes	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis	student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Relacionados	4	4
Resumo	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.