The analysis of asymptotic properties of multidimentional nonparametric regression

Asymptotic properties of multidimensional nonparametric regression, synthesis of which is grounded on estimations of a probability density of Rosenblatt-Parzen, are explored. Their quantitative dependence on flavor of kernel function and features of initial statistical data is determined.