ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE
DOI : 10.3844/jmssp.2013.249.255
Journal of Mathematics and Statistics
Volume 9, 2013
In this study we study the estimators of the population mean in adaptive cluster sampling by using the information of the auxiliary variable. The estimators in this study are the classical ratio estimator, the ratio estimator using the population coefficient of variation and the coefficient of kurtosis of the auxiliary variable, the regression estimator and the difference estimator. Simulations showed that the difference estimator had the smallest estimated mean square error when compared to the ratio estimators and the regression estimator.
© 2013 Nipaporn Chutiman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.