IMPROVED CLASSES OF ESTIMATORS FOR POPULATION MEAN IN PRESENCE OF NON-RESPONSE

Taking motivation from Rao (1991) and Diana et al. (2011) biased regression estimators, we propose a general class of biased estimators for population mean under which considering four different situations and studying the occurrence of non-response in the study variable and (or not) in the auxiliary variable with known or unknown mean of X. The bias and the mean square error of the estimators are obtained and compared with the linear regression estimators. Numerical results of the efficiency of the proposed estimators are displayed to confirm the superiority of the proposed class of estimators with the linear regression estimators.