Consider the nonparametric regression model , , where is an unknown function, the design points are known and nonrandom, and ’s are independent random variables. The regressor is assumed to take values in , and the regressand to be real valued. This paper studies the behavior of the general nonparametric estimate
where the weight function is of the form . Under suitable conditions, it is shown that the general linear smoother for the unknown rendent variable.