| Title |
Berry-Esseen bounds of weighted kernel estimator for a nonparametric regression model based on linear process errors under a LNQD sequence
|
|---|---|
| Published in |
Journal of Inequalities and Applications, January 2018
|
| DOI | 10.1186/s13660-017-1604-8 |
| Pubmed ID | |
| Authors |
Liwang Ding, Ping Chen, Yongming Li |
| Abstract |
In this paper, the authors investigate the Berry-Esseen bounds of weighted kernel estimator for a nonparametric regression model based on linear process errors under a LNQD random variable sequence. The rate of the normal approximation is shown as [Formula: see text] under some appropriate conditions. The results obtained in the article generalize or improve the corresponding ones for mixing dependent sequences in some sense. |
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| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
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| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
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|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 1 | 100% |
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