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Дискриминантный анализ×Однофакторный дисперсионный анализ×
ОбластьСтатистикаСтатистика
СемействоLatent structureHypothesis test
Год появления19361925
Автор методаRonald A. FisherRonald A. Fisher
ТипSupervised classification and dimension reductionParametric mean comparison
Основополагающий источникFisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗Fisher, R. A. (1925). Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd. link ↗
Другие названияLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisone-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA
Связанные44
СводкаDiscriminant 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.One-way ANOVA is a parametric hypothesis test that compares the means of three or more independent groups on a single continuous outcome to decide whether at least one group mean differs. It rests on the variance-partitioning framework introduced by Ronald A. Fisher in 1925.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
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ScholarGateСравнение методов: Discriminant Analysis · One-way ANOVA. Получено 2026-06-20 из https://scholargate.app/ru/compare