Five predict methods have been used like step by step regression analysis, neural network, correlation filter, cokriging and nonparametric regression analysis.

オhe fracture density model for the pelite reservoirs in several wells in the Gaojiaya oil field,Xinjiang is presented by means of the regression analysis of variable parameters.

Aiming at curve fitting question, a method of non-parametric regression with penalty term to determine adaptively the fitting function of a group of data is presented, emphasing on the problem of determining the regular parameter of the method, including subjective back-and-forth method and cross validating method.

By taking the model on non-parametric regression into image denoising,the arithmetic based on this method has been presented.

Focusing on the problem of inventory forecast of inventory control strategy in the Distribution center(R,S) ,non-parametric regression method is applied to fit for the inventory,which is compared with the least squares method and non-parametric k neighboring rule is used to predict the inventory.

Improved K nearest neighbor nonparametric regression and its application in short-term traffic flow forecasting;

An algorithm for nonparametric regression with penalized splines;

Neural network ensemble model for rainfall forecasting based on nonparametric regression;

Strong consistency of partitioning estimation of the nonparametric regression function under α-mixing sequences;

Empirical likelihood confidence intervals for nonparametric regression functions under depandent samples

Asymptotic normality of partitioning estimates for the nonparametric regression function under censored samples