方法对比
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| 稳健配对样本t检验× | 稳健单样本t检验（截尾均值）× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Hypothesis test | Hypothesis test |
| 起源年份≠ | 1974 | 1970s–2000s |
| 提出者≠ | K. K. Yuen; extended by Rand R. Wilcox | Rand R. Wilcox (extending Yuen's trimmed-mean approach) |
| 类型 | Robust parametric mean comparison | Robust parametric mean comparison |
| 开创性文献≠ | Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗ | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 |
| 别名 | trimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison | one-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-test |
| 相关≠ | 3 | 4 |
| 摘要≠ | The robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down. | The robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality. |
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