Research Article | OPEN ACCESS
A New Regression Estimator Based on Two Auxiliary Variables
1Saman Shahbaz, 2Muhammad Zubair, 1Nadeem Shafique Butt and 1Muhammad Ismail
1Department of Statistics, COMSATS Institute of Information Technology, Lahore, Punjab, Pakistan
2Department of Statistics, University of Sargodha, Sargodha, Punjab, Pakistan
Research Journal of Applied Sciences, Engineering and Technology 2014 2:251-252
Received: April ‎08, ‎2014 | Accepted: April ‎28, ‎2014 | Published: July 10, 2014
Abstract
A multiple regression estimator has been developed by using information on “k†auxiliary variables. The mean square error has been obtained of the Multiple Regression estimator and comparison has been made with existing estimators for estimation of population characteristic.
Keywords:
Auxiliary variables , mean square error , regression estimator,
References
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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