An Improved the Estimator in Inverse Adaptive Cluster Sampling

Abstract

Christman and Lan [1] considered adaptive cluster sampling based on inverse sampling that use two stopping rule. We use the estimator in adaptive cluster sampling based on the estimator of Dryver and Thompson [3] for improving the estimator in inverse adaptive cluster sampling that use three stopping rule. Estimators are compared in the small simulation. The results indicate that the improved estimator in inverse adaptive cluster sampling have the smallest variance.