Complete Consistency of G-M Estimator in Nonparametric Regression Model Based on Extended Negatively Dependent Errors
Year: 2026
Type: article
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.
Source: Mathematics
DOI: 10.3390/math14071158
Authors: Cong Qu, Shuili Zhang
Institution: Pingdingshan University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
OpenAlex ID: W7143875619
