Estimators in Adaptive Cluster Sampling under Two Successive Occasions using Auxiliary Information

If the true value of the parameter related to the auxiliary variable is unavailable, then it shall also be estimated by selecting a sample through Adaptive Cluster Sampling (ACS) from the population, as we do in the double sampling procedure. First, we shall estimate the parameter related to the auxiliary variable and with the help of that, the parameter related to the study variable, for which we can propose different estimators and their convex combinations to get greater precision. In this paper we’ve proposed the estimators based on ACS design with partial matching on two different occasions for matched and unmatched part with the help of auxiliary information. For convex combination of these estimators, we’ve compared the PREs and calculated the efficiencies with the already existing estimators. Comparisons are also made through simulation study.