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Home  >  Volume 38

24. Alternative to Mohanty (1967) and Samiuddin and Hanif (2006) Regression-Cum-Ratio Finite Population Mean Estimators by Ishaq O.O and Audu A. Volume 38, (November, 2016), pp 173 – 178
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Abstract

Large sample provides adequate information for estimation but the cost and time involved are relatively high. In this paper, regression-cum-ratio estimators for finite population mean which utilize information on the large sample yet to be drawn has been proposed. The bias and MSE of proposed estimators to first order were obtained. The efficiency of the proposed estimators were compare to some existing estimators of population mean theoretically and empirically and the results show that the proposed estimators are more efficient.

Keywords: Bias, Mean Square Error (MSE), Regression, Estimator

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