Median estimation knowing the median of an auxiliary variable
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This paper deals the estimation of a finite population median in the presence of an auxiliary variable. Two methods based on the regression estimator are studied along with the ratio estimator and the median’s estimator without auxiliary variable. These estimators are applicable in situations where only the population median of the auxiliary variable is known. On basis of all possible samples derived by symmetric and asymmetric (positive and negative) cases, the efficiency of these estimators are compared. It is shown that the estimators based on the regression estimator improve always the median’s estimation with regard to the estimator without the auxiliary variable, but for choosing the best estimator for the median it has been considered the combination of symmetric, positive asymmetric and negative asymmetric cases between the auxiliary variable (X) and the principal variable (Y).
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