Abstract:
This paper discussed combining ratio estimators in simple random sampling using coefficient regression, coefficient kurtosis, coefficient variance suggested by Kadilar and Cingi [4]. These estimators are biased there for the Mean Square Error is calculated for each estimators to obtain is most efficient estimator. This comparison shows that the combining ratio estimators is more efficient than the ratio estimator it
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