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An Improvement in Estimation of Finite Population Mean in the Presence of Random Non-Response
Abstract
The aim of this paper intended towards the problem of estimating the mean of a finite population using the single auxiliary information on study variable, discussed in distinct strategies of random non response. The properties of suggested estimators are discussed by assuming that the sampling units with missing information, follow some distribution. The results in each situation are demonstrated numerically through an empirical study which presents the considerable gain in efficiency of suggested estimators over usual unbiased estimator and ratio estimator under random non response.
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