Efficiency of Some Modified Exponential-Type Imputation Scheme of Population Mean Using Robust Outliers Under Two-Phase Sampling with Presence of Non-Response

Abstract

The efficiency of some modified exponential-type imputation estimators of population mean using robust outliers under two-phase sampling with presence of non-response focused on the modification of mean imputation and estimation that uses function of auxiliary variables under simple random sample. This research work aimed at developing efficient estimators of population mean in the presence of non-response using imputation schemes. Method of mean squared error (MSE) was used in comparing both the conventional and proposed estimators for both Real-life and simulated data for both cases that are used under different super population. The results revealed that the estimators of modified scheme demonstrated high level of efficiency over many of the existing estimators considered in this study. Moreover, among the modified estimators, members of outperformed in number than others.