Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастная двухфакторная дисперсионная дисперсия (Robust Two-Way ANOVA)× | Двусторонний дисперсионный анализ (Two-Way ANOVA)× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Год появления≠ | 1990s–2000s | 1925 |
| Автор метода≠ | Rand R. Wilcox; H. J. Keselman and colleagues | Ronald A. Fisher |
| Тип≠ | Robust parametric mean comparison | Parametric factorial mean comparison |
| Основополагающий источник≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119113478 |
| Другие названия≠ | robust factorial ANOVA, trimmed-mean two-way ANOVA, heteroscedastic two-way ANOVA, robust 2-way ANOVA | factorial ANOVA, two-factor ANOVA, İki Yönlü ANOVA |
| Связанные≠ | 3 | 6 |
| Сводка≠ | 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. | Two-Way ANOVA is a parametric hypothesis test that simultaneously examines the main effects of two independent categorical factors and their interaction effect on a single continuous dependent variable. The technique was developed within the broader framework of the analysis of variance established by Ronald A. Fisher in 1925 and remains the standard approach whenever an experiment or survey includes exactly two between-subjects factors. |
| ScholarGateНабор данных ↗ |
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