方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 置换 (随机化) 检验× | Yuen's检验 (截尾均值检验)× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 2005 | 1974 |
| 提出者≠ | Good (2005); Edgington & Onghena (2007); resampling tradition | Karen K. Yuen |
| 类型≠ | Nonparametric resampling test | Robust two-group comparison |
| 开创性文献≠ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 | Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗ |
| 别名 | randomization test, exact permutation test, re-randomization test, Permütasyon Testi | Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi |
| 相关≠ | 5 | 4 |
| 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. | The trimmed mean test compares two groups using trimmed means, which discard a fixed proportion of the most extreme observations in each tail before averaging. Introduced by Karen K. Yuen in 1974, it is a robust alternative to the classical t-test when the data are non-normal or contain outliers and the population variances are unequal. |
| ScholarGate数据集 ↗ |
|
|