L-1-deficiency of the sample quantile estimator with respect to a kernel quantile estimator | |
Zhao, Mu1,2; Jiang, Hongmei1; Zhou, Yong3,4 | |
刊名 | STATISTICS & PROBABILITY LETTERS |
2013-10 | |
卷号 | 83期号:10页码:2399-2406 |
关键词 | Sample quantile estimator Kernel quantile estimator L-1-deficiency Optimal bandwidth |
ISSN号 | 0167-7152 |
DOI | 10.1016/j.spl.2013.06.035 |
英文摘要 | The performance of the sample quantile estimator versus a kernel quantile estimator under the criterion of mean integrated absolute error (MIAE) for randomly right-censored data is considered in this paper. We show that the so called L-1-deficiency of the sample quantile estimator with respect to the kernel quantile estimator is convergent to infinity. The optimal bandwidth in the sense of MIAE is obtained. Some simulation studies and one real data analysis are used to illustrate the results. (C) 2013 Elsevier B.V. All rights reserved. |
WOS研究方向 | Mathematics |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000324078200038 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/1920] |
专题 | 上海财经大学 |
通讯作者 | Jiang, Hongmei |
作者单位 | 1.Northwestern Univ, Dept Stat, Evanston, IL 60208 USA; 2.Anhui Univ, Sch Math Sci, Hefei 230039, Peoples R China; 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China; 4.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai 200433, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Mu,Jiang, Hongmei,Zhou, Yong. L-1-deficiency of the sample quantile estimator with respect to a kernel quantile estimator[J]. STATISTICS & PROBABILITY LETTERS,2013,83(10):2399-2406. |
APA | Zhao, Mu,Jiang, Hongmei,&Zhou, Yong.(2013).L-1-deficiency of the sample quantile estimator with respect to a kernel quantile estimator.STATISTICS & PROBABILITY LETTERS,83(10),2399-2406. |
MLA | Zhao, Mu,et al."L-1-deficiency of the sample quantile estimator with respect to a kernel quantile estimator".STATISTICS & PROBABILITY LETTERS 83.10(2013):2399-2406. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论