A Robust Regression Approach for Handling Outliers and Limited Sample Sizes: A Fully Specified Monte Carlo Simulation Study

This study evaluates robust regression methods for handling outliers and limited sample sizes through a fully specified Monte Carlo simulation study, comparing their performance against classical ordinary least squares estimation under varying contamination levels and sample sizes.

R. O. Efeizomor (2026). A Robust Regression Approach for Handling Outliers and Limited Sample Sizes: A Fully Specified Monte Carlo Simulation Study. Journal of Statistical Sciences and Data Analytics. https://jossda.com.ng/journals/jossda.202601.00001