Minimum Hellinger distance estimation in simple linear regression models; distribution and efficiency

Abstract

The minimum Hellinger distance estimation in simple linear regression models is considered. It is shown that the estimators of the slope parameter and the intercept parameter are asymptotically fully efficient, and that the estimator of the scale parameter is asymptotically reasonably efficient. Also, the asymptotic normality of these estimators is shown.