Abstract
Variable importance measures based on discriminant analysis and multivariate analysis of variance are useful for identifying variables that discriminate between two groups in multivariate group designs. Variable importance measures are developed based on trimmed and Winsorized estimators for describing group differences in multivariate non-normal populations.
DOI
10.22237/jmasm/1509494760
Recommended Citation
Sajobi, T. T., & Lix, L. M. (2017). Robust Measures of Variable Importance for Multivariate Group Designs. Journal of Modern Applied Statistical Methods, 16(2), 99-123. doi: 10.22237/jmasm/1509494760
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
