Kernel regression uniform rate estimation for censored data under $\alpha$-mixing condition
Statistics Theory
2008-02-21 v1 Statistics Theory
Abstract
In this paper, we study the behavior of a kernel estimator of the regression function in the right censored model with -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.
Cite
@article{arxiv.0802.2800,
title = {Kernel regression uniform rate estimation for censored data under $\alpha$-mixing condition},
author = {Zohra Guessoum and Elias Ould-Saïd},
journal= {arXiv preprint arXiv:0802.2800},
year = {2008}
}
Comments
Submitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)