BAHADUR REPRESENTATION OF THEKERNEL QUANTILE ESTIMATOR UNDER TRUNCATED AND CENSORED DATA

被引：0

作者：

孙六全

郑忠国

机构：

来源：

Acta Mathematicae Applicatae Sinica | 1999年 / 03期

关键词：

Kernel quantile density estimator; Bahadur representation; left truncation and right censoring; LIL; asymptotic normality;

D O I：

暂无

中图分类号：

O212 [数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

1.IntroductionTheestimationofpopulationquaillesisofgrestillterestwhenone.isnotpreparedtoassumeaparametricformfortheunderlyingdistribution.Inaddition,quaillesoftenariseasthensturalthingtoestimatewhentheunderlyingdistributionisskewed.LetXIIXZ,’’’)Xubei...

引用

页码：257 / 268

页数：12

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