Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Testul t robust pentru eșantioane independente× | Test t robust pentru eșantioane pereche× | |
|---|---|---|
| Domeniu | Statistică | Statistică |
| Familie | Hypothesis test | Hypothesis test |
| Anul apariției≠ | 1974–1990s | 1974 |
| Autorul original≠ | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) | K. K. Yuen; extended by Rand R. Wilcox |
| Tip | Robust parametric mean comparison | Robust parametric mean comparison |
| Sursa seminală≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗ |
| Denumiri alternative | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test | trimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison |
| Înrudite≠ | 2 | 3 |
| Rezumat≠ | 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 robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down. |
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