Deconvolution kernel estimator for mean transformation with ordinary smooth error
文献类型：期刊论文
| 作者 | Qin, HZ; Feng, SY |
| 刊名 | STATISTICS & PROBABILITY LETTERS
 |
| 出版日期 | 2003-02-15 |
| 卷号 | 61期号:4页码:337-346 |
| 关键词 | measurement error bandwidth selection super population rates of convergence |
| ISSN号 | 0167-7152 |
| 英文摘要 | Consider the convolution model Y = X + epsilon in which e is the ordinary smooth measurement error with a known distribution. The estimator of mean transformation theta = E[G(X)] is constructed by deconvolution kernel technique. Moment and weak convergence rates of the proposed estimator are derived under some mild regularity conditions. Simulation results indicate that the underlying estimator is highly accurate and robust. (C) 2002 Elsevier Science B.V. All rights reserved. |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000181313500001 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/18577]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 作者单位 | 1.Beijing Normal Univ, Dept Math, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qin, HZ,Feng, SY. Deconvolution kernel estimator for mean transformation with ordinary smooth error[J]. STATISTICS & PROBABILITY LETTERS,2003,61(4):337-346. |
| APA | Qin, HZ,&Feng, SY.(2003).Deconvolution kernel estimator for mean transformation with ordinary smooth error.STATISTICS & PROBABILITY LETTERS,61(4),337-346. |
| MLA | Qin, HZ,et al."Deconvolution kernel estimator for mean transformation with ordinary smooth error".STATISTICS & PROBABILITY LETTERS 61.4(2003):337-346. |
入库方式： OAI收割
来源：数学与系统科学研究院
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