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Improved Ratio Estimators of Population Mean In Adaptive Cluster Sampling |
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PP: 1-6 |
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Author(s) |
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Subhash Kumar Yadav,
Sheela Misra,
Sant Saran Mishra,
Nipaporn Chutiman,
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Abstract |
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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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