Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Lineārā diskriminantā analīze× | Neatkarīgo paraugu t-tests× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime≠ | Latent structure | Hypothesis test |
| Izcelsmes gads≠ | 1936 | 1908 |
| Autors≠ | Ronald A. Fisher | Student (W. S. Gosset) |
| Tips≠ | Supervised classification and dimension reduction | Parametric mean comparison |
| Pirmavots≠ | 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 ↗ |
| Citi nosaukumi | LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis | student t-test, two-sample t-test, unpaired t-test, bağımsız örneklem t-testi |
| Saistītās | 4 | 4 |
| Kopsavilkums≠ | 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. |
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