QUANTILE ESTIMATION WITH AUXILIARY INFORMATION UNDER POSITIVELY ASSOCIATED SAMPLES  

作　　者：李英华 秦永松 雷庆祝 李丽凤 

机构地区：[1]Department of Mathematics, Guangxi Normal University

出　　处：《Acta Mathematica Scientia》2016年第2期453-468,共16页数学物理学报（B辑英文版）

基　　金：supported by the National Natural Science Foundation of China(11271088,11361011,11201088);the Natural Science Foundation of Guangxi(2013GXNSFAA019004,2013GXNSFAA019007,2013GXNSFBA019001)

摘　　要：The empirical likelihood is used to propose a new class of quantile estimators in the presence of some auxiliary information under positively associated samples. It is shown that the proposed quantile estimators are asymptotically normally distributed with smaller asymptotic variances than those of the usual quantile estimators.The empirical likelihood is used to propose a new class of quantile estimators in the presence of some auxiliary information under positively associated samples. It is shown that the proposed quantile estimators are asymptotically normally distributed with smaller asymptotic variances than those of the usual quantile estimators.

关 键 词：QUANTILE positively associated sample empirical likelihood 

分 类 号：O212.1[理学—概率论与数理统计]