Improved exponential type estimators of finite population mean under complete and partial auxiliary information

Year 2014, Volume: 43 Issue: 6, 1079 - 1093, 01.12.2014

Abdul Haq Javid Shabbir

Abstract

This paper proposes some improved exponential type estimators of finite population mean under simple random sampling and double sampling. Expressions for biases and mean squared errors of the proposed
estimators are derived up to the first order of approximation. Theoretical and numerical comparisons are made to investigate the performances of the estimators. The proposed estimators always perform
better than the difference estimator of the population mean. They also
perform better than the estimators suggested by Gupta and Shabbir
[3] and Grover and Kaur [2].

Keywords

Auxiliary variable, Bias, Mean squared error, Difference estimator, Two-phase sampling

References

• . . .