On The Efficiency of Ratio Estimators of Finite Population Mean Using Auxiliary Information

Ratio estimation is a technique that usages available auxiliary information which is certainly correlated with study variables. In this study, a class of ratio-type estimators of finite population means has been anticipated to solve delinquent of estimation of the population mean. Properties of anticipated estimators namely Bias & Mean Square Error were acquired up to the first order of approximation & the condition for their efficiency over some existing estimators was also established. The results show that anticipated estimators are enhanced & proficient (minimum mean square errors) than other estimators with the highest precision.