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.
Cirillo, Marcelo Angelo and Barroso, Lúcia Pereira
"Robust Regression Estimates in the Prediction of Latent Variables in Structural Equation Models,"
Journal of Modern Applied Statistical Methods:
1, Article 4.
Available at: http://digitalcommons.wayne.edu/jmasm/vol11/iss1/4