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| Robust Spearman Correlation× | Стійкий t-критерій для незалежних вибірок× | |
|---|---|---|
| Галузь | Статистика | Статистика |
| Родина | Hypothesis test | Hypothesis test |
| Рік появи≠ | 1990s–2000s | 1974–1990s |
| Автор методу≠ | Rand R. Wilcox (robust extensions); Charles Spearman (base method, 1904) | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) |
| Тип≠ | Robust nonparametric correlation | 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 | Winsorized Spearman correlation, robust rank correlation, trimmed Spearman correlation, outlier-resistant Spearman | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test |
| Пов'язані≠ | 5 | 2 |
| Підсумок≠ | Robust Spearman correlation is an outlier-resistant measure of monotonic association between two variables. It applies robustification strategies — such as Winsorizing extreme ranks or using the percentage-bend approach — to protect Spearman's rho against distortion from outliers or heavy-tailed distributions, while retaining its nonparametric rank-based character. | 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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