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BAHADUR REPRESENTATION OF THEKERNEL QUANTILE ESTIMATOR UNDER TRUNCATED AND CENSORED DATA 被引量:1
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作者 孙六全 郑忠国 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 1999年第3期257-268,共12页
In this article the authors establish the Bahadur type representations for the kernel quantileestimator and the kernel estimator of the derivatives of the quantile function on the basis of lefttruncated and right cens... In this article the authors establish the Bahadur type representations for the kernel quantileestimator and the kernel estimator of the derivatives of the quantile function on the basis of lefttruncated and right censored data. Under suitable conditions, with probability one, the exactconvergence rate of the remainder term in the representations is obtained. As a by-product, theLIL, the asymptotic normality for those kernel estimators are derived. 展开更多
关键词 kernel quantile density estimator Bahadur representation left truncation and right censoring LIL asymptotic normality
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