Strong consistency of the nonparametric local linear regression estimation under censorship model
Statistics Theory
2020-04-07 v1 Statistics Theory
Abstract
We introduce and study a local linear nonparametric regression estimator for censorship model. The main goal of this paper is, to establish the uniform almost sure consistency result with rate over a compact set for the new estimate. To support our theoretical result, a simulation study has been done to make comparison with the classical regression estimator.
Keywords
Cite
@article{arxiv.2004.02461,
title = {Strong consistency of the nonparametric local linear regression estimation under censorship model},
author = {Feriel Bouhadjera and Elias Saïd and Riad Remita},
journal= {arXiv preprint arXiv:2004.02461},
year = {2020}
}