Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors

被引：22
|
作者：
Zahid, Erum [1 ]
Shabbir, Javid [1 ]
机构：
[1] Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan
来源：
PLOS ONE | 2019年 / 14卷 / 02期
关键词：
RANDOMIZED-RESPONSE;
D O I：
10.1371/journal.pone.0212111
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study.
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页数：17
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