方法对比
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| 置换 (随机化) 检验× | 稳健相关（Spearman、Kendall和双权重）× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2005 | 2012 |
| 提出者≠ | Good (2005); Edgington & Onghena (2007); resampling tradition | Spearman rank, Kendall tau; biweight from Wilcox / Shevlyakov & Oja robust statistics tradition |
| 类型≠ | Nonparametric resampling test | Robust correlation measures |
| 开创性文献≠ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838 |
| 别名≠ | randomization test, exact permutation test, re-randomization test, Permütasyon Testi | Spearman correlation, Kendall tau, biweight midcorrelation, rank correlation |
| 相关 | 5 | 5 |
| 摘要≠ | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. | Robust Correlation is a family of association measures that resist outliers, covering Spearman's rank correlation, Kendall's tau, and the biweight midcorrelation. Drawing on the robust-statistics tradition described by Wilcox (2012) and Shevlyakov & Oja (2016), it measures how strongly two variables move together without being distorted by a few extreme points. |
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