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Abstract

In this paper we have considered the problem of estimating the population mean using auxiliary information in sample surveys. A class of dual to ratio estimators has been defined. Exact expressions for bias and mean squared error of the suggested class of dual to ratio estimator have been obtained. In particular, properties of some members of the proposed class of dual to ratio estimators have been discussed. It has been shown that the proposed class of estimators is more efficient than the sample mean, ratio estimator, dual to ratio estimator and some members of the suggested class of estimators in some realistic conditions. Some numerical illustrations are given in support of the present study.

Keywords

Study variate Auxiliary variate Population mean Bias Mean squared error

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How to Cite
Singh, H. P., & Nigam, P. (2020). A General Class of Dual to Ratio Estimator. Pakistan Journal of Statistics and Operation Research, 16(3), 421-431. https://doi.org/10.18187/pjsor.v16i3.2936
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