Effective rotation patterns for median estimation in successive sampling

TL;DRAbstract

The present work deals with the problem of estimation of population median at current occasion in two-occasion successive sampling. Best linear unbiased estimators have been proposed by utilizing additional auxiliary information, readily available on both the occasions. Asymptotic variances of the proposed estimators are derived and the optimum replacement policies are discussed. The behaviours of the proposed estimators are analyzed on the basis of data from natural populations. Simulation studies have been carried out to measure the precision of the proposed estimators.

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