中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A kernel-type estimator of a quantile function under randomly truncated data

文献类型:期刊论文

作者Zhou Yong; Wu Gofu; Li Daoji
刊名ACTA MATHEMATICA SCIENTIA
出版日期2006-10-01
卷号26期号:4页码:585-594
关键词truncated data Product-limits quantile function kernel estimator Bahadur representation
ISSN号0252-9602
英文摘要A kernel-type estimator of the quantile function Q(p) = inf {t : F(t) >= p}, 0 <= p <= 1, is proposed based on the kernel smoother when the data are subjected to random truncation. The Bahadur-type representations of the kernel smooth estimator are established, and from Bahadur representations the authors can show that this estimator is strongly consistent, asymptotically normal, and weakly convergent.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000241746500002
出版者SPRINGER
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/3635]  
专题应用数学研究所
通讯作者Zhou Yong
作者单位Chinese Acad Sci, Acad MAth & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhou Yong,Wu Gofu,Li Daoji. A kernel-type estimator of a quantile function under randomly truncated data[J]. ACTA MATHEMATICA SCIENTIA,2006,26(4):585-594.
APA Zhou Yong,Wu Gofu,&Li Daoji.(2006).A kernel-type estimator of a quantile function under randomly truncated data.ACTA MATHEMATICA SCIENTIA,26(4),585-594.
MLA Zhou Yong,et al."A kernel-type estimator of a quantile function under randomly truncated data".ACTA MATHEMATICA SCIENTIA 26.4(2006):585-594.

入库方式: OAI收割

来源:数学与系统科学研究院

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