Strong consistency of the nonparametric local linear regression estimation under censorship model - Archive ouverte HAL Access content directly
Journal Articles Communications in Statistics - Theory and Methods Year : 2022

Strong consistency of the nonparametric local linear regression estimation under censorship model

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.

Dates and versions

hal-03942801 , version 1 (17-01-2023)

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Feriel Bouhadjera, Elias Ould Saïd, Mohamed Riad Remita. Strong consistency of the nonparametric local linear regression estimation under censorship model. Communications in Statistics - Theory and Methods, 2022, 51 (20), pp.7056-7072. ⟨10.1080/03610926.2020.1870142⟩. ⟨hal-03942801⟩
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