Asymptotic normality of the improved Kernel estimator for regression function under ρ-mixing samples

Using the elementary inequality of mixing sequence,promoted the asymptotic normality of the improved Kernel regression function estimate from φ-mixing samples to ρ-mixing samples.And the restrictions on the conditions of ρ-mixing samples is less than that of φ-mixing samples.