Estimation of semiparametric model with censored data

Abstract

For semiparametric regression model with censored data, we firstly propose the estimators of parametric and nonparametric part by the use of kernel method based on distribution function and least squares methods. Secondly, the asymptotic normality of parametric part and the strong consistency of nonparametric part are proved.