ESTIMATION OF POPULATION MEAN USING AUXILIARY INFORMATION IN NON-RESPONSE

Abstract

In the presence of non-response, a class of estimators of finite population mean of study variable using the knowledge of population mean of an auxiliary variable is proposed and its bias and mean square error are found. A sub class of optimum estimators in the sense of having minimum mean square error is found and enhancing the practical utility, a sub class of estimators depending on estimated optimum value based on sample observations is also investigated in the presence of non-response.