Estimation of finite population variance in successive sampling using multi-auxiliary variables

被引：3
|
作者：
Ahmad, Zahoor [1 ]
Hussain, Ijaz [1 ]
Hanif, Muhammad [2 ]
机构：
[1] Univ Gujrat, Dept Stat, Gujrat, Pakistan
[2] Natl Coll Business Adm & Econ, Lahore, Pakistan
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2016年 / 45卷 / 03期
关键词：
Bias and mean square error; General class of estimators; Multi-auxiliary variables; Successive sampling;
D O I：
10.1080/03610926.2013.833236
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：
In this paper, a general class of estimators for estimating the finite population variance in successive sampling on two occasions using multi-auxiliary variables has been proposed. The expression of variance has also been derived. Further, it has been shown that the proposed general class of estimators is more efficient than the usual variance estimator and the class of variance estimators proposed by Singh etal. (2011) when we used more than one auxiliary variable. In addition, we support this with the aid of numerical illustration.
引用
收藏
页码：553 / 565
页数：13
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