Complete Consistency of G-M Estimator in Nonparametric Regression Model Based on Extended Negatively Dependent Errors
Abstract
In this paper, we study the complete consistency of the G-M estimator in a nonparametric regression model based on extended negatively dependent errors, and we obtain the convergence rates of the complete consistency by using the inequalities for extended negatively dependent random variables. Finally, some simulations are illustrated.
Fields of Study & Subjects
Statistical Methods and Inference
Probability and Risk Models
Statistical Methods and Bayesian Inference
Publication details
- Journal / source
- Mathematics
- Publisher
- MDPI AG
- Volume
- 14
- Issue
- 7
- Pages
- 1158–1158
- Publication date
- 31 March 2026
- Language
- EN