An efficient class of estimators for the population mean using auxiliary information in systematic sampling

被引：25
作者：
Housila P. Singh
Ramkrishna S. Solanki
机构：
[1] School of Studies in Statistics, Vikram University, Ujjain-450010, M.P, Kothi Road
来源：
Journal of Statistical Theory and Practice | 2012年 / 6卷 / 2期
关键词：
Auxiliary variable; Bias; Mean square error; Study variable; Systematic sampling;
D O I：
10.1080/15598608.2012.673881
中图分类号：
学科分类号：
摘要：
This article addresses the problem of estimating the population mean in systematic sampling using information on an auxiliary variable. A class of estimators for the population mean is defined with its properties under large sample approximation. It has been shown that the proposed class of estimators is better than the usual unbiased estimator, Swain (1964) estimator, Shukla (1971) estimator, and usual regression estimator. The results have been illustrated through an empirical study. Copyright © Grace Scientific Publishing, LLC.
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页码：274 / 285
页数：11
相关论文
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