akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata

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	akerneltypeestimatorofaquantilefunctionunderrandomlytruncateddata
	Zhou Yong; Wu Guofu; Li Daoji
	2006
发表期刊	actamathematicascientia
ISSN	0252-9602
卷号	26 期号:4 页码:585
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
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/50049
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.