Abstract
Estimation of the population average in a finite population by means of sampling strategy dependent on the sample quantile of an auxiliary variable is considered. The sampling design is proportionate to the difference of two quantiles of an auxiliary variable. The sampling scheme implementing the sampling design is proposed. The derived inclusion probabilities are applied to estimation the population mean using the well known Horvitz-Thompson estimator. Moreover, the regression estimator is defined as the function of the slope coefficient dependent on the quantiles of the auxiliary variable.
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