Regression-Type Estimation of a Finite Population Mean in Two-Phase Sampling Using Auxiliary Variable and Attribute
Keywords:Attribute; auxiliary variables; bias; MSE; optimum estimation; empirical study; simulation; two-phase sampling
In this paper, by making regression adjustment, a class of estimators of the finite population mean under two-phase sampling is suggested which incorporates auxiliary information on quantitative and qualitative variables. Making approximation up to first order, bias and mean squared error (MSE) are obtained. A few particular cases of the estimators are discussed. The numerical and empirical comparisons of these estimators with ordinary ratio and regression estimators are carried out using a Monte Carlo simulation.
Journal of Statistical Research 2021, Vol. 55, No. 2, pp. 377-393
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