Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Robustā neatkarīgo paraugu t-kriterijs× | Neatkarīgo paraugu t-tests× | |
|---|---|---|
| Nozare | Statistika | Statistika |
| Saime | Hypothesis test | Hypothesis test |
| Izcelsmes gads≠ | 1974–1990s | 1908 |
| Autors≠ | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) | Student (W. S. Gosset) |
| Tips≠ | Robust parametric mean comparison | Parametric mean comparison |
| Pirmavots≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Student (W. S. Gosset) (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗ |
| Citi nosaukumi | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test | two-sample t-test, unpaired t-test, Student t-test, independent groups t-test |
| Saistītās≠ | 2 | 4 |
| Kopsavilkums≠ | The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups. | The independent samples t-test is a parametric hypothesis test that determines whether the means of two independent, unrelated groups differ significantly on a continuous outcome variable. Derived from Gosset's 1908 t-distribution, it is one of the most widely used inferential tests in social, behavioral, biomedical, and experimental sciences. |
| ScholarGateDatu kopa ↗ |
|
|