Computation of Separate Product and Ratio Exponential Estimators Under Neutrosophic Stratified Sampling: Application to Climate Data

Within the confines of this article, we unveil a ground-breaking methodology, introducing for the first time product, product and ratio exponential estimators within the framework of neutrosophic stratified sampling an endeavour that integrates auxiliary variables. A comprehensive analysis has been executed theoretically, and through artificial and real data to assess the bias and mean square error (MSE) of these novel estimators, reaching up to the first-order approximation. Our findings unequivocally showcase the superior performance of these estimators in comparison to conventional unbiased counterparts. Additionally, our research underscores the heightened reliability inherent in neutrosophic stratified estimators when juxtaposed with classical stratified estimators. Mathematics Subject Classification: 62D05, 62A86.