中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata

文献类型:期刊论文

作者Zhou Yong; Wu Guofu; Li Daoji
刊名actamathematicascientia
出版日期2006
卷号26期号:4页码:585
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.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/50048]  
专题应用数学研究所
作者单位中国科学院数学与系统科学研究院
推荐引用方式
GB/T 7714
Zhou Yong,Wu Guofu,Li Daoji. akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata[J]. actamathematicascientia,2006,26(4):585.
APA Zhou Yong,Wu Guofu,&Li Daoji.(2006).akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata.actamathematicascientia,26(4),585.
MLA Zhou Yong,et al."akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata".actamathematicascientia 26.4(2006):585.

入库方式: OAI收割

来源:数学与系统科学研究院

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