Ratio exponential type estimators with imputation for missing data in sample surveys

摘要

Twenty exponential type estimators with imputation have been suggested to overcome the problem of missing data for a study variable in sample surveys. It has been shown that the suggested estimators are more efficient than the mean method of imputation, ratio method of imputation, regression method of imputation and the estimators are given by Singh and Horn (2000), Singh and Deo (2003), Singh (2009), Gira (2015) and Singh et al. (2016). The biases and their mean square errors of the suggested estimators are derived. Simulation studies are also demonstrated for comparing the performances of the suggested estimators.