ESTIMATION IN PARTLY LINEAR ERROR-IN-COVARIABLE MODELS WITH CENSORED DATA

Abstract

This paper studies the estimation issues in a partly linear model with error-in-covariable and censored response. The proposed estimators of the parameter and nonparametric function in the model are respectively proved to be asymptotically normal and weak consistent with an optimal rate. A simulation study is conducted to compare the proposed estimator of the parameter with its related estimators in terms of their biases and standard deviations.