A GENERALIZED EXPONENTIAL TYPE ESTIMATOR OF POPULATION MEAN IN THE PRESENCE OF NON-RESPONSE

Muneer Siraj (), Shabbir Javid () and Khalil Alamgir ()
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Muneer Siraj: Department of Statistics, University of Peshawar, Peshawar, Pakistan
Shabbir Javid: Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
Khalil Alamgir: Department of Statistics, University of Peshawar, Peshawar, Pakistan

Statistics in Transition New Series, 2018, vol. 19, issue 2, 259-276

Abstract: In this article, we propose a class of generalized exponential type estimators to estimate the finite population mean by using two auxiliary variables under non-response in simple random sampling. The proposed estimator under non-response in different situations has been studied and gives minimum mean square error as compared to all other considered estimators. Usual exponential ratio type estimator, exponential product type estimator and many more estimators are also identified from the proposed estimator. We use three real data sets to obtain the efficiencies of estimators.

Keywords: auxiliary variables; bias; MSE; efficiency; non-response. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:19:y:2018:i:2:p:259-276:n:6

DOI: 10.21307/stattrans-2018-015

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