A generalized estimator for finite population mean in the presence of measurement errors in stratified random sampling

被引：5

作者：

Khalil S. ^{[1
]}

Gupta S. ^{[2
]}

Hanif M. ^{[3
]}

机构：

[1] Department of Statistics, Lahore College for Women University, Lahore

[2] Department of Mathematics and Statistics, University of North Carolina–Greensboro, Greensboro, NC

[3] Department of Statistics, National College of Business Administration & Economics, Lahore

来源：

Journal of Statistical Theory and Practice | 2018年 / 12卷 / 2期

关键词：

Mean estimation; measurement error; percent relative efficiency; simulation study; stratified random sampling;

D O I：

10.1080/15598608.2017.1370621

中图分类号：

学科分类号：

摘要：

A generalized estimator is introduced for finite population mean (Formula presented.) in stratified random sampling when observations are contaminated with measurement errors. Many special cases of the proposed estimator are possible. The bias and mean square error of the proposed family of estimators are derived. The performance of the proposed estimator is evaluated both theoretically and empirically in the presence and absence of measurement error. © 2018 Grace Scientific Publishing, LLC.

引用

页码：311 / 324

页数：13

共 15 条

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