Asymptotic Properties of the Robust Regression Estimator by using the Local Linear Method Case of Spatial Functional Data
Main Article Content
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.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
