Volume 3, Issue 6, December 2015, Page: 281-287
An Efficient Class of Exponential Chain Ratio Type Estimator for Finite Population Mean in Double Sampling
Diganta Kalita, Department of Statistics, North Lakhimpur College (Autonomous), North Lakhimpur, Assam, India
Received: Oct. 12, 2015;       Accepted: Nov. 4, 2015;       Published: Dec. 25, 2015
DOI: 10.11648/j.sjams.20150306.17      View  3714      Downloads  149
Abstract
This paper presents a class of exponential chain ratio type estimator in double sampling for estimating finite population mean of the study variable, when the information on another additional auxiliary variable is known along with the main auxiliary variable. The property of proposed class of estimator has been studied. Comparison has been made with other competitive estimators. The proposed estimator is found to be more efficient both theoretically and empirically.
Keywords
Auxiliary Character, Chaining in Double Sampling, Exponential Chain Ratio Type Estimator, Study Variable, MSE and Efficiency
To cite this article
Diganta Kalita, An Efficient Class of Exponential Chain Ratio Type Estimator for Finite Population Mean in Double Sampling, Science Journal of Applied Mathematics and Statistics. Vol. 3, No. 6, 2015, pp. 281-287. doi: 10.11648/j.sjams.20150306.17
Copyright
Copyright © 2015 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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