Design based study for adjusting non-response while estimating population mean

In the present study, we proposed a class of estimators for estimating a finite population mean in the presence of non-response to the study variable. We set out to investigate their properties under the polynomial regression model (PRM) modelling approach. Some of the special cases of the class were discussed separately to show how some non-response versions of the existing estimators can be generated and studied from the general class. The comparison of the model-based mean square errors of the estimators under different settings of the considered model was illustrated with the help of some empirical data.