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	Quantile estimation for left truncated and right censored data
	Zhou, X ; Sun, LQ ; Ren, HB
	2000
关键词	asymptotic normality Berry-Esseen type bound quantile function kernel estimation truncated and censored data PRODUCT-LIMIT ESTIMATOR ITERATED LOGARITHM REPRESENTATIONS MODEL
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.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000165776800011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Statistics & Probability; SCI(E); 10; ARTICLE; 4; 1217-1229; 10
语种	英语
出处	SCI
出版者	statistica sinica
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/401526]
专题	数学科学学院
推荐引用方式 GB/T 7714	Zhou, X,Sun, LQ,Ren, HB. Quantile estimation for left truncated and right censored data. 2000-01-01.

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