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Journal of Statistics Applications & Probability Letters
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 

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Volumes > Vol. 3 > No. 1

 
   

Improved Ratio Estimators of Population Mean In Adaptive Cluster Sampling

PP: 1-6
Author(s)
Subhash Kumar Yadav, Sheela Misra, Sant Saran Mishra, Nipaporn Chutiman,
Abstract
In this paper, we study the estimators of the population mean in adaptive cluster sampling by using the information of the auxiliary variable, that is, the population coefficient of variation, the coefficient of skewness kurtosis of the auxiliary variable and the correlation coefficient between main variable and the auxiliary variable. The large sample properties of the proposed estimators have been studied up to the first order of approximation. A numerical study is also carried out to judge the theoretical findings. The numerical example showed that if the population is rare and hidden clustered population, all estimators in adaptive cluster sampling are more efficient than the estimators in simple random sampling with the same condition.

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