方法证据记录
Robust ANCOVA
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Robust Analysis of Covariance
分类方法记录 · hypothesis-test / statistics
- Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. · ISBN 978-0123869838
- Keselman, H. J., Wilcox, R. R., Algina, J., Fradette, K., & Othman, A. R. (2008). A comparative study of robust tests for spread: Asymmetric trimming strategies. British Journal of Mathematical and Statistical Psychology, 61(2), 235–253. · DOI 10.1348/000711008x299742
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。