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Análisis discriminante×Prueba T² de Hotelling×
CampoEstadísticaEstadística
FamiliaLatent structureHypothesis test
Año de origen19361931
Autor originalRonald A. FisherHarold Hotelling
TipoSupervised classification and dimension reductionMultivariate parametric mean comparison
Fuente seminalFisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗Hotelling, H. (1931). The Generalization of Student's Ratio. Annals of Mathematical Statistics, 2(3), 360–378. link ↗
AliasLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisHotelling T² Testi — Çok Değişkenli t-Testi, multivariate t-test, Hotelling T-squared
Relacionados46
ResumenDiscriminant 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.Hotelling's T² test is a multivariate parametric hypothesis test that simultaneously compares the mean vectors of two independent groups across multiple continuous outcome variables. It was introduced by Harold Hotelling in 1931 as the direct multivariate generalization of Student's t-test, replacing the scalar mean difference with a vector difference scaled by the pooled variance-covariance matrix.
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ScholarGateComparar métodos: Discriminant Analysis · Hotelling's T² Test. Recuperado el 2026-06-20 de https://scholargate.app/es/compare