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| 판별 분석× | 다변량 분산 분석 (MANOVA)× | |
|---|---|---|
| 분야 | 통계학 | 통계학 |
| 계열≠ | Latent structure | Hypothesis test |
| 기원 연도≠ | 1936 | 1932 |
| 창시자≠ | Ronald A. Fisher | Samuel Stanley Wilks (Wilks' Lambda, 1932); Roy, Hotelling, Pillai (mid-20th c.) |
| 유형≠ | Supervised classification and dimension reduction | Parametric multivariate mean comparison |
| 원전≠ | Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗ | Tabachnick, B.G. & Fidell, L.S. (2013). Using Multivariate Statistics (6th ed.). Pearson. ISBN: 978-0205849574 |
| 별칭≠ | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis | Multivariate ANOVA, Çok Değişkenli ANOVA (MANOVA) |
| 관련≠ | 4 | 5 |
| 요약≠ | 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. | 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. |
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