ABSTRACT

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.

中文翻译：

---

删失线性回归下光滑分布函数核估计的强一致一致性

抽象的

本文考虑带有右删失数据的线性回归中平滑误差分布函数的核估计。基于残差分布的Kaplan-Meier估计，我们定义了误差分布函数的核平滑估计。在适当的条件下，可以获得拟议估计量的一致强一致性。