Maximum Partial Likelihood Estimation in Semiparametric Errors-in-covariables Models with Validation Data

摘要

In this paper, a method to handle error-in-variables models is presented. Kernel-based estimated partial likelihood is developed for estimating conditional density parameter. A simulation is conducted to illustrate the proposed method.