A family of estimators for estimating the population mean in simple random sampling under measurement errors
Applications
2013-12-05 v1
Abstract
In this article we have suggested an improved estimator for estimating the population mean in simple random sampling using auxiliary information under the presence of measurement errors. The mean square error (MSE) of the proposed estimator has been derived under large sample approximation. Besides, considering the minimum case of the MSE equation, the efficient conditions between the proposed and existing estimators are obtained. These theoretical findings are supported by a numerical example.
Keywords
Cite
@article{arxiv.1312.1088,
title = {A family of estimators for estimating the population mean in simple random sampling under measurement errors},
author = {Sachin Malik and Jayant Singh and Rajesh Singh},
journal= {arXiv preprint arXiv:1312.1088},
year = {2013}
}
Comments
9 pages, 2 tables