Improved estimation of population mean in presence of nonresponse and measurement error

被引：18

作者：

Kumar S. ^{[1
]}

机构：

[1] General Management, Alliance University, Bengaluru

来源：

Journal of Statistical Theory and Practice | 2016年 / 10卷 / 4期

关键词：

auxiliary variable; bias; mean squared error; measurement error; nonresponse; Study variable;

D O I：

10.1080/15598608.2016.1216488

中图分类号：

学科分类号：

摘要：

The methodology of estimation of population mean in the presence of one of the nonsampling errors has advanced considerably in recent years. Nevertheless, most research in this area has addressed the estimation of population mean in the presence of nonresponse and measurement error independently. In this article, I present a new estimator by considering two kinds of nonresponse error, namely, nonresponse and measurement error, by using auxiliary information. Theoretically and empirically, it has been shown that the proposed estimator is more efficient than usual unbiased estimator and other existing estimators. © 2016 Grace Scientific Publishing, LLC.

引用

页码：707 / 720

页数：13

共 33 条

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