Exponential Ratio Type Estimators In Stratified Random Sampling
Statistics Theory
2013-01-23 v1 Statistics Theory
Abstract
Kadilar and Cingi (2003) have introduced a family of estimators using auxiliary information in stratified random sampling. In this paper, we propose the ratio estimator for the estimation of population mean in the stratified random sampling by using the estimators in Bahl and Tuteja (1991) and Kadilar and Cingi (2003). Obtaining the mean square error (MSE) equations of the proposed estimators, we find theoretical conditions that the proposed estimators are more efficient than the other estimators. These theoretical findings are supported by a numerical example.
Cite
@article{arxiv.1301.5086,
title = {Exponential Ratio Type Estimators In Stratified Random Sampling},
author = {Rajesh Singh and Mukesh Kumar and R. D. Singh and M. K. Chaudhry},
journal= {arXiv preprint arXiv:1301.5086},
year = {2013}
}
Comments
16 pages, 2 tables; Advances in Statistics and Optimization . Eds. A. H. Khan and R. Khan, R. J. Enrerprises, New Delhi (2013). ISBN 978-81-924874-0-3