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Diskriminantanalys×Oberoende stickprovs t-test×
ÄmnesområdeStatistikStatistik
FamiljLatent structureHypothesis test
Ursprungsår19361908
UpphovspersonRonald A. FisherStudent (W. S. Gosset)
TypSupervised classification and dimension reductionParametric mean comparison
UrsprungskällaFisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
AliasLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
Närliggande44
SammanfattningDiscriminant 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.
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ScholarGateJämför metoder: Discriminant Analysis · Independent t-test. Hämtad 2026-06-20 från https://scholargate.app/sv/compare