The researchers developed a new method called robust AMML estimator to improve regression analysis. This method is better at handling outliers in data compared to existing methods like MM, LTS, and S. The new estimator, RAMML, is more accurate in most cases according to the mean squared error criterion. This means it can provide more reliable results when analyzing data sets.