Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Багатовимірний дисперсійний аналіз (MANOVA)× | Дискримінантний аналіз× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина≠ | Hypothesis test | Latent structure |
| Рік появи≠ | 1932 | 1936 |
| Автор методу≠ | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) | Ronald A. Fisher |
| Тип≠ | Parametric multivariate mean comparison | Supervised classification and dimension reduction |
| Основоположне джерело≠ | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 | Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗ |
| Інші назви≠ | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | MANOVA is a parametric hypothesis test that simultaneously compares group means across multiple continuous dependent variables, controlling the inflation of Type I error that would result from running separate ANOVAs. Key multivariate test statistics — Wilks' Lambda, Pillai's Trace, Hotelling-Lawley Trace, and Roy's Greatest Root — were developed between the 1930s and 1950s, with Wilks' Lambda formalised by Samuel Stanley Wilks in 1932. | 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. |
| ScholarGateНабір даних ↗ |
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