The strong uniform consistency of kernel estimator of a smooth distribution function in censored linear regression

摘要

This paper considers the kernel estimation of a smooth error distribution function in linear regression with right-censored data. Based on the Kaplan-Meier estimator of the residual distribution, we define the kernel-smoothed estimator of the error distribution function. Under the appropriate conditions, uniformly strong consistency of the proposed estimator is obtained.