方法对比
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| Bootstrap Inference× | 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≠ | 1979 | 1974 |
| 提出者≠ | Bradley Efron | Karen K. Yuen |
| 类型≠ | Resampling-based inference | Robust two-group comparison |
| 开创性文献≠ | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ | Yuen, K. K. (1974). The Two-Sample Trimmed t for Unequal Population Variances. Biometrika, 61(1), 165-170. DOI ↗ |
| 别名 | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı | Yuen's test, Yuen-Welch test, robust mean comparison, kırpılmış ortalama testi |
| 相关≠ | 5 | 4 |
| 摘要≠ | Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples. | 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. |
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