| ���ܶȹ��ƵĶԳƼ�����~$L_1(\mathbb{R}^d)$~�µ���ƫ�� |
| |
| 引用本文： | ������,������,�����.���ܶȹ��ƵĶԳƼ�����~$L_1(\mathbb{R}^d)$~�µ���ƫ��[J].应用概率统计,2019,35(2):141-152. |
| |
| 作者姓名： | ������ ������ ����� |
| |
| 作者单位： | ????????????????????, ??????, 333403 |
| |
| 摘 要： |
|
| 关 键 词： | ?????? ???????? ????? |
Moderate Deviations in L_1(\mathbb{R}^d) for a Test of Symmetry Based on Kernel Density Estimator |
| |
| XU Mingzhou,DING Yunzheng,ZHOU Yongzheng.Moderate Deviations in L_1(\mathbb{R}^d) for a Test of Symmetry Based on Kernel Density Estimator[J].Chinese Journal of Applied Probability and Statisties,2019,35(2):141-152. |
| |
| Authors: | XU Mingzhou DING Yunzheng ZHOU Yongzheng |
| |
| Institution: | School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, 333403, China |
| |
| Abstract: | Let f_n be a non-parametric kernel density estimator based on a kernel function K and a sequence of independent and identically distributed random variables taking values in \mathbb{R}^d. In this paper we prove two moderate deviation theorems in L_1(\mathbb{R}^d) for \{f_n(x)-f_n(-x),\,n\ge1\}. |
| |
| Keywords: | symmetry test kernel density estimator moderate deviations |
|
| 点击此处可从《应用概率统计》浏览原始摘要信息 |
| 点击此处可从《应用概率统计》下载免费的PDF全文 |
