New robust regression method tackles outlier problem in data analysis.
The researchers explored a method called robust regression to handle outliers in regression equations. They used the least-median squares (LMS) and multi-stage method (MM) robust regression techniques. The results of their simulations showed the effectiveness of these methods in dealing with outliers in regression modeling.