Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Дискримінантний аналіз× | Independent Samples t-test× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина≠ | Latent structure | Hypothesis test |
| Рік появи≠ | 1936 | 1908 |
| Автор методу≠ | Ronald A. Fisher | Student (W. S. Gosset) |
| Тип≠ | Supervised classification and dimension reduction | Parametric mean comparison |
| Основоположне джерело≠ | Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗ | Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Інші назви | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Пов'язані | 4 | 4 |
| Підсумок≠ | 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. | The independent samples t-test is a parametric hypothesis test that compares the means of two independent groups to decide whether they differ significantly. It builds on the t-distribution introduced by Student (W. S. Gosset) in 1908 and assumes the measured values are continuous, approximately normally distributed, and have equal variances. |
| ScholarGateНабір даних ↗ |
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