Almost Unbiased Ratio Type Estimators of Population Mean using Two Auxiliary Attributes in Systematic Sampling | Proceedings of Pakistan Academy of Sciences 2011

Author(s)

Zaheen Khan Department of Mathematics and Statistics, Federal Urdu University of Arts, Science and Technology,Islamabad,Pakistan

Javid Shabbir Department of Statistics, Quaid-i-Azam University,Islamabad,Pakistan

Zawar Hussain Department of Statistics, Quaid-i-Azam University,Islamabad,Pakistan

Abstract

In this paper, we propose a class of almost unbiased ratio-type estimators for estimating the finite population mean using systematic sampling when information on two auxiliary attributes is available. The proposed class of estimators is always more efficient than the usual mean estimator, i.e., Niak and Gupta (1996) estimator and Sahai and Ray (1980) estimator. Two real data sets are used for numerical comparison.

Publication Details

Page(s) 173-178

DOI DOI not available

Published Journal: Proceedings of Pakistan Academy of Sciences, Volume: 48, Issue: 3, Year: 2011

Keywords

efficiency attributes Bias mean square error MSE

References

References are not available for this document.

Citations

Citations are not available for this document.