By logarithm regression method,relation of the nonlinear regression model and concentration of carbon dioxide is founded.

In this paper, we derive estimators of parametric and nonparametric components in semiparametric regression model by using local polynomial fitting and LS method.

This paper uses ridge estimation method to solve the potential ill-conditioned problem in semiparametric regression model.

In this paper,used the kernel weight function, we obtain the parameter estimation of p-norm distribution in semiparametric regression model ,which is effective to decide the distribution of random errors.

In athis paper,the strong consisenc of the parametric estimation for the semi-parametric regression is researched under the fixed design and nixing error

A modeling method of combined orbit determination (COD) nonlinear semi-parametric regression which associated parametric modeling with non-parametric components expression was put forward by analyzing the characteristics of COD nonlinear influencing factors.

The application of rationalized Haar wavelet in semi-parametric regression mode and non-parametric estimator,with numerical simulation added,brings out good result.

Aiming at the weight computing problem in the group analytic hierarchy process(AHP),logarithmic regress is adopted.

Asymptotic behavior of semiparametric regression model under missing data;

Local linear smoothing to semiparametric regression model under missing response data;

Convergence rates of M-estimates in a semiparametric regression model;