Estimation of finite population mean in simple random sampling and stratified random sampling using two auxiliary variables

ABSTRACT

In this article, we propose a new class of estimators to estimate the finite population mean by using two auxiliary variables under two different sampling schemes such as simple random sampling and stratified random sampling. The proposed class of estimators gives minimum mean squared error as compared to all other considered estimators. Some real data sets are used to observe the performances of the estimators. We show numerically that the proposed class of estimators performs better as compared to all other competitor estimators.

Keywords:

• Auxiliary variables
• stratification
• bias
• MSE
• efficiency.

MATHEMATICS SUBJECT CLASSIFICATION:

• 62D05

Acknowledgments

Authors are thankful to referees for their valuable suggestions and comments which helped to improve the research paper.