方法对比
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| 稳健 Kendall's Tau 秩相关× | Spearman秩相关系数× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1990s–2000s | 1904 |
| 提出者≠ | Rand Wilcox; Croux & Dehon (robust extensions) | Charles Spearman |
| 类型≠ | Robust rank correlation | Nonparametric rank-based correlation |
| 开创性文献≠ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Spearman, C. (1904). The proof and measurement of association between two things. The American Journal of Psychology, 15, 72–101. DOI ↗ |
| 别名≠ | robust tau, skipped Kendall's tau, Winsorized Kendall's tau, outlier-resistant rank correlation | Spearman's rho, Spearman rank-order correlation, Spearman Sıra Korelasyonu |
| 相关≠ | 5 | 4 |
| 摘要≠ | Robust Kendall's tau estimates the monotone association between two variables using rank-based concordance counts, but augments the standard procedure with outlier detection or Winsorization so that a small number of extreme observations cannot distort the result. It is appropriate when data are ordinal or continuous and bivariate outliers are plausible. | The Spearman rank correlation coefficient (ρ) is a nonparametric measure of the monotonic association between two variables. Introduced by Charles Spearman in 1904, it converts raw observations to ranks and measures how consistently one variable increases as the other increases, without assuming a normal distribution or a linear relationship. |
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