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| Diszkriminancia-analízis× | Varianciaanalízis egytényezős× | |
|---|---|---|
| Tudományterület | Statisztika | Statisztika |
| Módszercsalád≠ | Latent structure | Hypothesis test |
| Keletkezés éve≠ | 1936 | 1925 |
| Megalkotó | Ronald A. Fisher | Ronald A. Fisher |
| Típus≠ | Supervised classification and dimension reduction | Parametric mean comparison |
| Alapmű≠ | Fisher, 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 ↗ |
| Alternatív nevek | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis | one-factor ANOVA, single-factor ANOVA, analysis of variance, tek yönlü ANOVA |
| Kapcsolódó | 4 | 4 |
| Összefoglaló≠ | 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. | 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. |
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