The class of estimators of finite population mean using incomplete multi-auxiliary information

Meenakshi Srivastava () and Neha Garg ()

Statistics in Transition new series, 2013, vol. 14, issue 2, 201-216

Abstract: In this paper, a class of estimators is considered for estimating the mean of the finite population utilizing available incomplete multi-auxiliary information. Some special cases of this class of estimators are considered. The approximate expressions for bias and mean square error of the suggested estimators have also been derived and theoretical results are numerically supported.

Keywords: bias; mean square error; multi-auxiliary information (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:csb:stintr:v:14:y:2013:i:2:p:201-216

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