A New Estimator Using Auxiliary Information in Stratified Adaptive Cluster Sampling
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Abstract: In this paper, we study the estimators of the population mean in stratified adaptive cluster sampling by using the information of the auxiliary variable. Simulations showed that if the variable of interest (y) and the auxiliary variables (x,z) have high positive correlation then the estimate of the mean square error of the ratio estimators is less than the estimate of the mean square error of the product estimator. The estimators which use only one auxiliary variable were better than the estimators which use two auxiliary variables.
Keywords:
Stratified Adaptive Cluster Sampling; Auxiliary Variable; Ratio Estimator; Product Estimator
Cite this paper:
N. Chutiman, M. Chiangpradit and S. Suraphee, "A New Estimator Using Auxiliary Information in Stratified Adaptive Cluster Sampling," Open Journal of Statistics, Vol. 3 No. 4, 2013, pp. 278-282. doi: 10.4236/ojs.2013.34032.
References
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