Abstract
The incorporation of the robust regression methods Least Median Square (LMS) and Least Trimmed Squares (LTS) is proposed in structural equation modeling. Results show that, in situations of high deviations of symmetry, the evaluated methods would be recommended for applications including smaller sample sizes.
DOI
10.22237/jmasm/1335844980
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
