Regression model
稳健相关（Spearman、Kendall和双权重）
稳健相关是一类不受极端值影响的关联度量方法，包括Spearman秩相关、Kendall的tau以及双权中值相关。借鉴Wilcox (2012) 和 Shevlyakov & Oja (2016) 描述的稳健统计学传统，它衡量两个变量一同变化的强度，而不会被少数极端点所扭曲。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing. Academic Press. ISBN: 978-0123869838
- Shevlyakov, G. & Oja, H. (2016). Robust Correlation: Theory and Applications. Wiley. ISBN: 978-1118493458
如何引用本页
ScholarGate. (2026, June 1). Robust Correlation (Spearman, Kendall, and Biweight). ScholarGate. https://scholargate.app/zh/statistics/robust-correlation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Kendall Tau 秩相关统计学↔ compare
- 普通最小二乘法 (OLS) 回归计量经济学↔ compare
- Pearson积矩相关系数统计学↔ compare
- 分位数回归计量经济学↔ compare
- Spearman秩相关系数统计学↔ compare