中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonparametric estimation of quantile density function for truncated and censored data

文献类型:期刊论文

作者Zhou, Y; Yip, PSF
刊名JOURNAL OF NONPARAMETRIC STATISTICS
出版日期1999
卷号12期号:1页码:17-39
关键词quantile density function truncating and censoring kernel estimator random bandwidth nearest neighbor estimator optimal bandwidth
ISSN号1048-5252
英文摘要In this paper we investigate the asymptotic properties of two types of kernel estimators for the quantile density function when the data are both randomly censored and truncated. We derive some laws of the logarithm for the maximal deviation between fixed bandwidth kernel estimators or random bandwidth kernel estimators and the true underlying quantile density function. Extensions to higher derivatives are included. The results are used to obtain the optimal bandwidth with respect to almost sure uniform convergence.
WOS研究方向Mathematics
语种英语
WOS记录号WOS:000085497400002
出版者GORDON BREACH SCI PUBL LTD
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/14228]  
专题应用数学研究所
通讯作者Zhou, Y
作者单位1.Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China
2.Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Y,Yip, PSF. Nonparametric estimation of quantile density function for truncated and censored data[J]. JOURNAL OF NONPARAMETRIC STATISTICS,1999,12(1):17-39.
APA Zhou, Y,&Yip, PSF.(1999).Nonparametric estimation of quantile density function for truncated and censored data.JOURNAL OF NONPARAMETRIC STATISTICS,12(1),17-39.
MLA Zhou, Y,et al."Nonparametric estimation of quantile density function for truncated and censored data".JOURNAL OF NONPARAMETRIC STATISTICS 12.1(1999):17-39.

入库方式: OAI收割

来源:数学与系统科学研究院

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