The asymptotic normality of the linear weighted estimator in nonparametric regression models-Reference-Cited by-同舟云学术

The asymptotic normality of the linear weighted estimator in nonparametric regression models

Published:2018-02-08 Issue:6 Volume:48 Page:1367-1376
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Shen Aiting¹,Ning Mingming¹,Wu Caoqing¹

Affiliation:

1. School of Mathematical Sciences, Anhui University, Hefei, P. R. China

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2018.1429633

Reference33 articles.

1. Chen, P. Y., and S. X. Gan. 2008. On moments of the maximum of normed partial sums of ρ-mixing random variables. Statistics and Probability Letters 78:1215–21.

2. Ding, L. W., and Y. M. Li. 2016. The Berry-Esseen bounds of wavelet estimator for regression model whose errors form a linear process with a ρ-mixing. Journal of Inequalities and Applications 2016, Article ID 107, 12.

3. Consistent nonparametric multiple regression: The fixed design case

4. Nonparametric function recovering from noisy observations

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