Among modern strategies applied to cope with the problems of non-response, in
sample surveys, imputation is one of them. Imputation is the filling up method
of incomplete data by adapting the standard analytic model in statistics. The
purpose of the present work is to study the intelligible use of imputation methods
in dealing with non-response at current occasion in two-occasion successive
(rotation) sampling. Chain-type regressions in ratio estimators have been proposed
for estimating the population mean at current occasion. Expressions for
optimum estimators and their mean square errors have been derived. To study
the effectiveness of the suggested imputation methods, performances of the proposed
estimators are compared in two different situations: with and without
non-response. Behaviors of the proposed estimators are demonstrated through
empirical studies.