A Robust Generalization of the Rao Test

This article presents new families of Rao-type test statistics based on the minimum density power divergence estimators which provide robust generalizations for testing simple and composite null hypotheses. The asymptotic distributions proposed tests are obtained their robustness properties also theoretically studied. Numerical illustrations provided to substantiate theory developed. On whole, seen be excellent alternatives classical Rao as well other well-known tests.