Complete consistency for the estimator of nonparametric regression model based on m-END errors

Complete consistency for the estimator of nonparametric regression model based on m-END errors

In this paper, we study the complete consistency for the estimator of nonparametric regression model based on -END errors and obtain the convergence rates of the complete consistency under more general conditions. Finally, some simulations are illustrated to verify the validity of our results.

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Bibliographische Detailangaben
Veröffentlicht in:Open mathematics (Warsaw, Poland) Poland), 2021-11, Vol.19 (1), p.1197-1209
Hauptverfasser: Zhang, Shui-Li, Hou, Tiantian, Qu, Cong
Format: Artikel
Sprache:eng
Schlagworte:
60E15
62G05
62G08
complete consistency
Consistency
convergence rate
END sequence
Errors
m-end sequence
Mathematics
Nonparametric statistics
Physical Sciences
regression model
Regression models
Science & Technology
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Beschreibung
Zusammenfassung:In this paper, we study the complete consistency for the estimator of nonparametric regression model based on -END errors and obtain the convergence rates of the complete consistency under more general conditions. Finally, some simulations are illustrated to verify the validity of our results.
ISSN:2391-5455
2391-5455
DOI:10.1515/math-2021-0081