Сравнение методов

	Анализ робастных размеров эффекта	Робастный t-критерий для независимых выборок
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	2005 (formalized)	1974–1990s
Автор метода	Algina, Keselman & Penfield; Wilcox	Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
Тип	Robust effect size estimation	Robust parametric mean comparison
Основополагающий источник	Algina, J., Keselman, H. J., & Penfield, R. D. (2005). An alternative to Cohen's standardized mean difference effect size: A robust parameter and confidence interval in the two independent groups case. Psychological Methods, 10(3), 317–328.	Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
Другие названия	robust Cohen's d, trimmed-mean effect size, outlier-resistant effect size, robust standardized mean difference	Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
Связанные	5	2
Сводка	Robust effect size analysis quantifies the magnitude of a difference or association using estimators that are resistant to outliers and violations of normality. Rather than relying on classical statistics such as Cohen's d based on sample means and standard deviations, robust variants use trimmed means and Winsorized standard deviations to produce effect size estimates that accurately reflect the typical effect rather than being inflated by extreme values.	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.