ABSTRACT
As we have seen earlier, many members within the class of minimum distance estimators based on disparities provide excellent theoretical alternatives to the classical estimators both in terms of efficiency and robustness. Mathematically, these estimators retain their first-order efficiency at the model while having strong robustness features. They have easy interpretability as they are generated naturally through minimum distance procedures and can be computed using simple algorithms.
