Research Article Open Access

ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE

Nipaporn Chutiman1
  • 1 Mahasarakham University, Thailand

Abstract

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.

Journal of Mathematics and Statistics
Volume 9 No. 3, 2013, 249-255

DOI: https://doi.org/10.3844/jmssp.2013.249.255

Submitted On: 30 January 2013 Published On: 4 September 2013

How to Cite: Chutiman, N. (2013). ADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE. Journal of Mathematics and Statistics, 9(3), 249-255. https://doi.org/10.3844/jmssp.2013.249.255

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Keywords

  • Adaptive Cluster Sampling
  • Auxiliary Variable
  • Ratio Estimator
  • Regression Estimator
  • Difference Estimator