Efficient Class of Neutrosophic Estimators of Population Mean under Uncertainty using Simple Random Sampling

In survey sampling, the traditional estimators frequently rely on the assumptions regarding the accuracy and certainty of the data, which may not always hold in practical applications, potentially leading to errors or missing information. In contrast, the neutrosophic estimators extend beyond the conventional binary framework of true-false by introducing a third component, ‘indeterminacy’. This additional component allows for a more comprehensive and flexible analysis that accounts for the impre