DEVELOPMENT OF NEW RATIO TYPE ESTIMATOR USING THE AUXILIARY INFORMATION

Abstract

In survey sampling the researchers always estimate the population mean of the study variable using the linear combination of known population values of coefficient of skewness and quartile deviation of auxiliary variable. Two modified estimators one is related to ratio and other is concerned with regression is used for estimation of population parameter of the study variable including the above linear combinations. Mean squared errors of the proposed estimators up to the first degree of approximation are obtained and compared with available estimators. The generalized proposed type estimators perform better than the competitors. Our proposed estimators give more satisfactory and efficient result as compared to all others estimators. So we can say that our proposed ratio type estimator will estimate the mean of the finite population more accurately than the others.