Complete Consistency of G-M Estimator in Nonparametric Regression Model Based on Extended Negatively Dependent Errors

In this paper, we study the complete consistency of the G-M estimator in a nonparametric regression model based on extended negatively dependent errors, and we obtain the convergence rates of the complete consistency by using the inequalities for extended negatively dependent random variables. Finally, some simulations are illustrated.