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| Робастен тест на Фридман× | Устойчив t-критерий за свързани извадки× | |
|---|---|---|
| Област | Статистика | Статистика |
| Семейство | Hypothesis test | Hypothesis test |
| Година на възникване≠ | 1990s–2000s | 1974 |
| Създател≠ | Extension of Friedman (1937); robust variants developed by Wilcox and colleagues | K. K. Yuen; extended by Rand R. Wilcox |
| Тип≠ | Robust nonparametric repeated measures comparison | Robust parametric mean comparison |
| Основополагащ източник≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗ |
| Други названия | robust rank-based repeated measures test, trimmed-mean Friedman test, Friedman test with robust estimation, Fried-type robust test | trimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison |
| Свързани≠ | 6 | 3 |
| Резюме≠ | 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 paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down. |
| ScholarGateНабор от данни ↗ |
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