Efficiency of estimators for quantile differences with left truncated and right censored data
文献类型：期刊论文
| 作者 | Xun, Li1; Shao, Li2,3; Zhou, Yong2,3
|
| 刊名 | STATISTICS & PROBABILITY LETTERS
 |
| 出版日期 | 2017-02-01 |
| 卷号 | 121页码:29-36 |
| 关键词 | Left truncated and right censored data Quantile difference Mean squared error Deficiency |
| ISSN号 | 0167-7152 |
| DOI | 10.1016/j.spl.2016.10.001 |
| 英文摘要 | We study the efficiency of two estimators of quantile difference with left truncated and right censored data. Based on deficiency, the performances of the estimators are compared. The theoretical results and numerical studies show that the smoothed estimator is more efficient. (C) 2016 Elsevier B.V. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China (NSFC)[71271128] ; State Key Program of National Natural Science Foundation of China[71331006] ; NCMIS ; Key Laboratory of RCSDS ; AMSS ; CAS[2008DP173182] ; Shanghai First-class Discipline A, Program for Changjiang Scholars (PCSIRT) and Innovative Research Team in SUFE[IRT13077] |
| WOS研究方向 | Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000390504500005 |
| 出版者 | ELSEVIER SCIENCE BV |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/24416]  |
| 专题 | 应用数学研究所 |
| 通讯作者 | Zhou, Yong |
| 作者单位 | 1.Changchun Univ Technol, Basic Sci Sch, Changchun, Peoples R China 2.Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xun, Li,Shao, Li,Zhou, Yong. Efficiency of estimators for quantile differences with left truncated and right censored data[J]. STATISTICS & PROBABILITY LETTERS,2017,121:29-36. |
| APA | Xun, Li,Shao, Li,&Zhou, Yong.(2017).Efficiency of estimators for quantile differences with left truncated and right censored data.STATISTICS & PROBABILITY LETTERS,121,29-36. |
| MLA | Xun, Li,et al."Efficiency of estimators for quantile differences with left truncated and right censored data".STATISTICS & PROBABILITY LETTERS 121(2017):29-36. |
入库方式： OAI收割
来源：数学与系统科学研究院
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