Сравнение методов

	Robust Friedman Test	Робастный тест знаковых рангов Уилкоксона
Область	Статистика	Статистика
Семейство	Hypothesis test	Hypothesis test
Год появления	1990s–2000s	1945 (original); robust extensions 1990s–2000s
Автор метода	Extension of Friedman (1937); robust variants developed by Wilcox and colleagues	Frank Wilcoxon (original); Rand R. Wilcox (robust extensions)
Тип	Robust nonparametric repeated measures comparison	Robust nonparametric paired difference test
Основополагающий источник	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
Другие названия	robust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust test	robust signed-rank test, robust nonparametric paired test, outlier-resistant Wilcoxon test, robust WSR test
Связанные	6	5
Сводка	The robust Friedman test is a nonparametric procedure for comparing three or more related (within-subjects) conditions that replaces standard ranking or mean-based summaries with robust location estimates — typically trimmed means or Winsorized statistics — to reduce the influence of outliers and heavy-tailed distributions on the inference.	The robust Wilcoxon signed-rank test extends the classical Wilcoxon signed-rank test by incorporating outlier-resistant location measures or robust preprocessing steps, improving inference on paired data when extreme observations or heavy-tailed distributions threaten validity of standard rank-based conclusions.