Turkish Journal of Computer and Mathematics Education
Journal license

Journal

Turkish Journal of Computer and Mathematics Education


Volume
& Issue

Volume 13, Issue 3


Published
on


Pages

830-843


DOI

Article

Asymptotic Properties of the Robust Regression Estimator by using the Local Linear Method Case of Spatial Functional Data


Authors

Mohammed Abeidallah Affiliation:
Hight School of Management, Tlemcen, Algeria
, Abderrahmane Belguerna Affiliation:
Sciences and technologies institute, department of Mathematics and computer sciences. University center of Naama. Algeria
and Zeyneb Laala Affiliation:
Department of Mathematics and Computer Science, University of Salhi Ahmed, Naama, 45000, Algeria


Abstract

A robust nonparametric local linear estimator will be constructed in this research when the regresses are functional spatial random variables. It is calculated by the combination of the technique M-estimation and local linear idea. The main goal is to generalize the result given in (Ibrahim M. Almanjahie. 2020) , and to establish the almost complete convergence with robust of this estimator under an α- mixing assumption.


Keywords

Spatial Data, Robust regression, Local linear Method, Asymptotic properties, Strong mixing process


Citation

Abeidallah, M., Belguerna, A., & Laala, Z. (2022). Asymptotic properties of the robust regression estimator by using the local linear method case of spatial functional data. Turkish Journal of Computer and Mathematics Education, 13(3), 830–843.

Published by: Engineering Journals

Engineering Journals Logo