January 2024
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In statistical estimation processes, accurate estimation of parameters is crucial. Incorporating valid auxiliary information can improve estimators by considering correlated variables. This study focused on binary type estimators for predicting population mean under SRSWOR in scenarios with non-response. The Mean Square Error (MSE) and Bias characteristics of the proposed estimators were derived, along with identifying the optimal MSE. The proposed family of estimators exhibited higher efficiency compared to existing estimators, as supported by both theoretical and empirical investigations.