Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Robustní jednofaktorová ANOVA× | Robustní t-test pro nezávislé výběry× | |
|---|---|---|
| Obor | Statistika | Statistika |
| Rodina | Hypothesis test | Hypothesis test |
| Rok vzniku≠ | 1951 (Welch); 1990s–2000s (trimmed-mean variants) | 1974–1990s |
| Tvůrce≠ | B. L. Welch; R. R. Wilcox (trimmed-mean extension) | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) |
| Typ≠ | Robust parametric group comparison | Robust parametric mean comparison |
| Původní zdroj | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 |
| Další názvy | trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test |
| Příbuzné | 2 | 2 |
| Shrnutí≠ | Robust one-way ANOVA compares the central tendency of three or more independent groups while resisting the distorting effects of outliers and heterogeneous variances. By replacing ordinary means with trimmed means and ordinary variances with Winsorized variances, it maintains accurate Type I error control and strong power when classical ANOVA assumptions are violated. | 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. |
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