手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| ロバストANCOVA× | ロバスト独立標本t検定× | |
|---|---|---|
| 分野 | 統計学 | 統計学 |
| 系統 | Hypothesis test | Hypothesis test |
| 提唱年≠ | 1990s–2000s | 1974–1990s |
| 提唱者≠ | Rand R. Wilcox and colleagues | Rand R. Wilcox; Karen K. Yuen (trimmed-mean form) |
| 種類≠ | Robust parametric covariate-adjusted comparison | Robust parametric mean comparison |
| 原典 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 | Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838 |
| 別名 | robust ANCOVA, heteroscedastic ANCOVA, trimmed-mean ANCOVA, resistant ANCOVA | Yuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test |
| 関連≠ | 4 | 2 |
| 概要≠ | Robust ANCOVA is a covariate-adjusted group comparison that replaces classical ANCOVA's ordinary least squares estimation with resistant methods — typically trimmed means or M-estimators — so that the test retains valid Type I error control and reasonable power when data contain outliers, heavy-tailed distributions, or heteroscedastic errors. | The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups. |
| ScholarGateデータセット ↗ |
|
|