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

Meenakshi  Srivastava; Neha  Garg

doi:https://doi.org/10.59170/stattrans-2013-013

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

Meenakshi Srivastava Department of Statistics, Institute of Social Sciences, Dr. B. R. Ambedkar University, Agra (U.P.), India. , Neha Garg School of Sciences, Indira Gandhi National Open University, New Delhi, India. Statistics in Transition new series, vol. 14, 2013, 2, pages: 201-216 Published online: 3 June 2013 https://doi.org/10.59170/stattrans-2013-013

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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

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