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判別分析×独立標本t検定×
分野統計学統計学
系統Latent structureHypothesis test
提唱年19361908
提唱者Ronald A. FisherStudent (W. S. Gosset)
種類Supervised classification and dimension reductionParametric mean comparison
原典Fisher, 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 ↗
別名LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisstudent t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi
関連44
概要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.
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ScholarGate手法を比較: Discriminant Analysis · Independent t-test. 2026-06-20に以下より取得 https://scholargate.app/ja/compare