An Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys

Authors

  • Dr. Sanjib Choudhury

  • Bhupendra Kumar Singh

Keywords:

Finite population mean; ratio-cum-dual to product estimator; Bias; Mean square error; Efficiency

Abstract

We consider a class of ratio-cum-dual to product estimator for estimating a finite population mean of the study variate. The bias and mean square error of the proposed estimator have been obtained. The asymptotically optimum estimator (AOE) in this class has also been identified along with its approximate bias and mean square error. Theoretical and empirical studies have been done to demonstrate the superiority of the proposed estimator over the other estimators.

How to Cite

Dr. Sanjib Choudhury, & Bhupendra Kumar Singh. (2012). An Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys. Global Journal of Science Frontier Research, 12(F12), 1–11. Retrieved from https://journalofscience.org/index.php/GJSFR/article/view/669

An Efficient Class of Ratio-Cum-Dual to Product Estimator of Finite Population Mean in Sample Surveys

Published

2012-10-15