AN IMPROVED RATIO-CUM-PRODUCT ESTIMATOR OF POPULATION MEAN USING COEFFICIENT OF KURTOSIS OF THE AUXILIARY VARIATES IN STRATIFIED RANDOM SAMPLING
Keywords:
Finite Population Mean, Stratified Random Sampling, Auxiliary Variate, Bias, Mean Squared Error.Abstract
In this paper, we have discussed the problem of estimation of population mean in stratified random sampling. An Improved ratio-cum-product estimator of population mean by using information on known coefficient of kurtosis of auxiliary variate has been suggested. The suggested estimator has been compared with usual unbiased estimator, combined ratio and product estimators, Kadilar and Cingi (2003) ratio and product type estimators and Tailor et al. (2012) ratio-cum-product estimator. The conditions under which the suggested estimator is more efficient have been obtained. An empirical study has been carried out to demonstrate the performance of the suggested estimator.
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