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BAHADUR REPRESENTATION OF THEKERNEL QUANTILE ESTIMATOR UNDER TRUNCATED AND CENSORED DATA
被引:0
|作者:
孙六全
郑忠国
机构:
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...
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页码:257 / 268
页数:12
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