Kernel regression uniform rate estimation for censored data under α-mixing condition

摘要

In this paper, we study the behavior of a kernel estimator of the regression function in the right censored model with α -mixing data. The uniform strong consistency over a real compact set of the estimate is established along with a rate of convergence. Some simulations are carried out to illustrate the behavior of the estimate with different examples for finite sample sizes.