Nonparametric estimation of quantile density function for truncated and censored data
文献类型:期刊论文
作者 | Zhou, Y![]() |
刊名 | JOURNAL OF NONPARAMETRIC STATISTICS
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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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