An improved general class of estimators for finite population mean in simple random sampling

Abstract

Recently Pal et al. introduced a mean estimator which generalized most of the known mean estimators. We introduce a class of estimators that performs better than Pal et al. estimator. Expressions for bias and MSE for the proposed estimator are derived up to first order of approximation. We use the six datasets for numerical comparison.

Keywords:

• Bias
• mean square error (MSE)
• auxiliary variable
• efficiency

MATHEMATICS SUBJECT CLASSIFICATION:

• 62D05

Acknowledgments

Authors are thankful to the learned referees for their valuable comments which helped to improve the manuscript.