Estimation of finite population mean in simple and stratified random sampling using two auxiliary variables

Javid Shabbir and Sat Gupta

Communications in Statistics - Theory and Methods, 2017, vol. 46, issue 20, 10135-10148

Abstract: We propose an improved difference-cum-exponential ratio type estimator for estimating the finite population mean in simple and stratified random sampling using two auxiliary variables. We obtain properties of the estimators up to first order of approximation. The proposed class of estimators is found to be more efficient than the usual sample mean estimator, ratio estimator, exponential ratio type estimator, usual two difference type estimators, Rao (1991) estimator, Gupta and Shabbir (2008) estimator, and Grover and Kaur (2011) estimator. We use six real data sets in simple random sampling and two in stratified sampling for numerical comparisons.

Date: 2017
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DOI: 10.1080/03610926.2016.1231822

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