EXPONENTIAL TYPE ESTIMATOR FOR MISSING DATA UNDER IMPUTATION TECHNIQUE

Abstract

In this paper, we suggest an exponential type estimator for estimation of population mean for missing data under suggested imputation techniques. Family of proposed estimator is obtained for missing data. Expression for Bias and MSE’s are acquired in the form of population parameters up to the terms of first order of approximation. Theoretical results depict the superiority of proposed estimator and its family over other estimators. The empirical study in support of theoretical results is also included to verify the results numerically. © 2022 Universidad de La Habana. All rights reserved.