Vertaile menetelmiä
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| Robust two-way ANOVA× | Robust one-way ANOVA× | |
|---|---|---|
| Tieteenala | Tilastotiede | Tilastotiede |
| Menetelmäperhe | Hypothesis test | Hypothesis test |
| Syntyvuosi≠ | 1990s–2000s | 1951 (Welch); 1990s–2000s (trimmed-mean variants) |
| Kehittäjä≠ | Rand R. Wilcox; H. J. Keselman and colleagues | B. L. Welch; R. R. Wilcox (trimmed-mean extension) |
| Tyyppi≠ | Robust parametric mean comparison | Robust parametric group comparison |
| Alkuperäislähde | 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 |
| Rinnakkaisnimet | robust factorial ANOVA, trimmed-mean two-way ANOVA, heteroscedastic two-way ANOVA, robust 2-way ANOVA | trimmed-mean ANOVA, Welch one-way ANOVA, heteroscedastic one-way ANOVA, robust ANOVA |
| Liittyvät≠ | 3 | 2 |
| Tiivistelmä≠ | Robust two-way ANOVA tests main effects and interactions of two categorical factors on a continuous outcome using trimmed means and Winsorized variances, providing valid inference when standard ANOVA assumptions — normality, homoscedasticity, and absence of outliers — are violated. | 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. |
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