中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantile estimation for left truncated and right censored data

文献类型:期刊论文

作者Zhou, X; Sun, LQ; Ren, HB
刊名STATISTICA SINICA
出版日期2000-10-01
卷号10期号:4页码:1217-1229
关键词asymptotic normality Berry-Esseen type bound quantile function kernel estimation truncated and censored data
ISSN号1017-0405
英文摘要In this paper we study the estimation of a quantile function based on left truncated and right censored data by the kernel smoothing method. Asymptotic normality and a Berry-Esseen type bound for the kernel quantile estimator are derived. Monte Carlo studies are conducted to compare the proposed estimator with the PL-quantile estimator.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000165776800011
出版者STATISTICA SINICA
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/14993]  
专题应用数学研究所
通讯作者Zhou, X
作者单位1.Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
2.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
3.Beijing Univ, Dept Stat & Probabil, Beijing 100871, Peoples R China
推荐引用方式
GB/T 7714
Zhou, X,Sun, LQ,Ren, HB. Quantile estimation for left truncated and right censored data[J]. STATISTICA SINICA,2000,10(4):1217-1229.
APA Zhou, X,Sun, LQ,&Ren, HB.(2000).Quantile estimation for left truncated and right censored data.STATISTICA SINICA,10(4),1217-1229.
MLA Zhou, X,et al."Quantile estimation for left truncated and right censored data".STATISTICA SINICA 10.4(2000):1217-1229.

入库方式: OAI收割

来源:数学与系统科学研究院

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