Regression model
置换 (随机化) 检验
置换检验是一种非参数重采样程序，它通过反复打乱分组标签来直接从数据中构建检验统计量的抽样分布。该方法源于重采样传统，并由 Good (2005) 和 Edgington & Onghena (2007) 系统阐述，它不依赖任何参数分布假设，并能得出精确的 p 值。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
+17 more
来源
- Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
- Edgington, E. S., & Onghena, P. (2007). Randomization Tests (4th ed.). CRC Press. ISBN: 978-1584885894
如何引用本页
ScholarGate. (2026, June 1). Permutation (Randomization) Test. ScholarGate. https://scholargate.app/zh/statistics/permutation-test
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.
- Bootstrap Inference统计学↔ compare
- Jackknife Resampling统计学↔ compare
- 稳健相关（Spearman、Kendall和双权重）统计学↔ compare
- Yuen's检验 (截尾均值检验)统计学↔ compare
- 温莎化估计统计学↔ compare
被引用于
贝叶斯自助法（Bayesian Bootstrap，由 Rubin 提出）BCa Bootstrap（偏差校正和加速法）块自举（移动块和固定块）Bootstrap Inference自助法模拟聚类稳健标准误双重（迭代）自助法Friedman 检验Jackknife Resampling刀切法估计Kruskal-Wallis H检验Levene 和 Brown-Forsythe 方差齐性检验Mann-Whitney U 检验参数自举法政策评估安慰剂检验Fisher精确随机推断稳健方差分析（Welch & Trimmed Mean）稳健豪斯曼设定检验稳健线性混合效应模型模拟辅助假设检验研究Sn和Qn稳健尺度估计量Theil-Sen 估计器Yuen's检验 (截尾均值检验)双样本柯尔莫哥洛夫-斯米尔诺夫检验Wild Bootstrap for Regression Inference温莎化估计