Efficient separate class of estimators of population mean in stratified random sampling

ABSTRACT

In this paper, efficient class of estimators for population mean using two auxiliary variates is suggested. It has been shown that the suggested estimator is more efficient than usual unbiased estimator in stratified random sampling, usual ratio and product-type estimators, Tailor and Lone (2012, 2014) estimators, and other considered estimators. The bias and mean-squared error of the suggested estimator are obtained up to the first degree of approximation. Conditions under which the suggested estimator is more efficient than other considered estimators are obtained. An empirical study has been carried out to demonstrate the performances of the suggested estimator.

KEYWORDS:

• Separate estimator
• Stratified random sampling
• Mean-squared error
• Bias

MATHEMATICAL SUBJECT CLASSIFICATION:

• 62D05

Acknowledgments

The authors are grateful to the learned referee for his valuable suggestions regarding the improvement of the paper.