Author(s): Gohain, D., Nath, K., & Singh, B.K.
Present paper proposes four generalized classes of estimators for estimating population mean under the framework of two-phase sampling design by using auxiliary information and also the expressions for bias and mean square error are derived. These types of imputation techniques are used in different decision science related fields for better results. In addition, theoretical results showing the superiority of the proposed estimator over existing estimators from empirical studies based on different datasets from classical statistical literature are shown.