  The main purpose of this paper is to estimate the regression function by
using a recursive nonparametric kernel approach. We derive the asymptotic
normality for a general class of recursive kernel estimate of the regression
function, under strong mixing conditions. Our purpose is to extend the work of
Roussas and Tran [17] concerning the Devroye-Wagner estimate.
