A new improved difference-cum-exponential ratio type estimator in systematic sampling two auxiliary variables

J Shabbir, S Masood, S Gupta
2020 Journal of the National Science Foundation of Sri Lanka  
0000-0002-0035-7072) This article is published under the Creative Commons CC-BY-ND License (http://creativecommons.org/licenses/by-nd/4.0/). This license permits use, distribution and reproduction, commercial and non-commercial, provided that the original work is properly cited and is not changed in anyway. Abstract: A difference-cum-exponential ratio type estimator was proposed for estimating the finite population mean using two auxiliary variables under systematic sampling. Expressions for
more » ... Expressions for the biases and mean square errors (MSEs) were derived up to first order of approximation. It was observed that the proposed estimator is more efficient than the usual sample mean estimator, traditional ratio estimator, exponential-ratio estimator and many other recently proposed difference type estimators in terms of MSEs. Four datasets were used for efficiency comparisons.
doi:10.4038/jnsfsr.v48i1.9931 fatcat:v7bl64i7trf47azm4kzpwlr2fi