A New Exponential Ratio-Type Estimator with Linear Combination of Two Auxiliary Variables

被引：4
|
作者：
Lu, Jingli [1 ]
Yan, Zaizai [1 ]
Peng, Xiuyun [1 ]
机构：
[1] Inner Mongolia Univ Technol, Coll Sci, Hohhot, Inner Mongolia, Peoples R China
来源：
PLOS ONE | 2014年 / 9卷 / 12期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1371/journal.pone.0116124
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 sample surveys, it is usual to make use of auxiliary information to increase the precision of estimators. We propose a new exponential ratio-type estimator of a finite population mean using linear combination of two auxiliary variables and obtain mean square error (MSE) equation for proposed estimator. We find theoretical conditions that make proposed estimator more efficient than traditional multivariate ratio estimator using information of two auxiliary variables, the estimator of Bahl and Tuteja and the estimator proposed by Abu-Dayeh et al. In addition, we support these theoretical results with the aid of two numerical examples.
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页数：10
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