Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Multivariační analýza kovariance (MANCOVA)× | Diskriminační analýza× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina≠ | Hypothesis test | Latent structure |
| Rok vzniku≠ | 1970 | 1936 |
| Tvůrce≠ | Extension of MANOVA and ANCOVA traditions; consolidated in multivariate textbooks by the 1970s–1980s | Ronald A. Fisher |
| Typ≠ | Parametric multivariate mean comparison with covariate control | Supervised classification and dimension reduction |
| Původní zdroj≠ | Tabachnick, B. G. & Fidell, L. S. (2019). Using Multivariate Statistics (7th ed.). Pearson. ISBN: 978-0134790541 | Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗ |
| Další názvy | MANCOVA, multivariate ANCOVA, MANOVA with covariates, MANCOVA — Çok Değişkenli Kovaryans Analizi | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis |
| Příbuzné≠ | 5 | 4 |
| Shrnutí≠ | MANCOVA (Multivariate Analysis of Covariance) is a parametric hypothesis test that simultaneously compares two or more groups on multiple continuous dependent variables while statistically controlling for one or more covariates. It extends MANOVA by incorporating covariate adjustment, a tradition consolidated in multivariate statistical methodology by the 1970s and authoritatively documented by Tabachnick and Fidell (2019). | 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. |
| ScholarGateDatová sada ↗ |
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