Abstract
In this research, we proposed some new estimators of finite population mean by using the transformations of coefficient of variation,Cx , the coefficient of kurtosis, β2(x) and some real numbers in stratified random sampling without replacement scheme. The bias and mean square error (MSE) of the proposed estimator are obtained by the first order approximation. It is found that the proposed estimators are more efficient than the traditional mean, ratio, Bahl and tuteja [1], regression, Koyuncu and Kadilar [2], Singh and Solanki [3-4] estimators. We have applied a real data set using stratified random sampling technique for measuring the efficiency of the estimators considered here.
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