方法证据记录
Robust MANOVA
Robust MANOVA is a multivariate analysis of variance procedure designed to remain valid when classical assumptions — multivariate normality and homogeneity of covariance matrices — are violated. It replaces raw means and standard covariance matrices with resistant estimates such as trimmed means and Winsorized covariances, yielding reliable Type I error control and power in the presence of outliers and skewed distributions across multiple dependent variables simultaneously.
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 Multivariate Analysis of Variance
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
- Lix, L. M., & Keselman, H. J. (2004). Multivariate tests of means in independent groups designs: Effects of covariance heterogeneity and nonnormality. Evaluation and the Health Professions, 27(1), 45–69. · DOI 10.1177/0163278703261213
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