Minimum Hellinger distance estimators for multivariate distributions from the Johnson system

In this paper, we study minimum Hellinger distance estimators (MHDEs) for multivariate distributions from the Johnson system. We prove some properties of these estimators, such as consistency and asymptotic normality, and show that they represent a robust alternative for other existing estimators.