Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Робастний однофакторний дисперсійний аналіз× | Стійкий t-критерій для незалежних вибірок× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1951 (Welch); 1990s–2000s (trimmed-mean variants) | 1974–1990s |
| Автор методу≠ | B. L. Welch; R. R. Wilcox (trimmed-mean extension) | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) |
| Тип≠ | Robust parametric group comparison | Robust parametric mean comparison |
| Основоположне джерело | 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 |
| Інші назви | 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 |
| Пов'язані | 2 | 2 |
| Підсумок≠ | 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. |
| ScholarGateНабір даних ↗ |
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