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

Metadata

Code:JOSSDA:202601.00001

Authors:R. O. Efeizomor

Category:Data Analytics

Publication date:2026-12-01

Keywords:robust regressionoutliers

Abstract

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.

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