IMPROVED CLASSES OF ESTIMATORS FOR POPULATION MEAN IN PRESENCE OF NON-RESPONSE

被引：0
|
作者：
Riaz, Saba [1 ]
Diana, Giancarlo [2 ]
Shabbir, Javid [1 ]
机构：
[1] Quaid I Azam Univ, Dept Stat, Islamabad, Pakistan
[2] Univ Padua, Dept Stat Sci, I-35100 Padua, Italy
来源：
PAKISTAN JOURNAL OF STATISTICS | 2014年 / 30卷 / 01期
关键词：
Auxiliary information; Non-response; Regression estimator; Efficiency comparison; NON RESPONSE; RATIO;
D O I：
暂无
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Taking motivation from Rao (1991) and Diana et al. (2011) biased regression estimators, we propose a general class of biased estimators for population mean under which considering four different situations and studying the occurrence of non-response in the study variable and (or not) in the auxiliary variable with known or unknown mean of X. The bias and the mean square error of the estimators are obtained and compared with the linear regression estimators. Numerical results of the efficiency of the proposed estimators are displayed to confirm the superiority of the proposed class of estimators with the linear regression estimators.
引用
收藏
页码：83 / 100
页数：18
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