Neutrosophic Exponential Ratio-Type Estimator for Finite Population Mean

Abstract

 This paper proposes a neutrosophic exponential-type estimator for finite population mean esti
mation using auxiliary variables. Traditional statistical estimators often fall short when handling
 vague or uncertain data. Neutrosophic statistics provide a robust alternative, as they are specifically
 designed to address and incorporate indeterminacy. The mean square error (MSE) expressions are
 derived and the proposed estimator is compared with existing estimators through a numerical exam
ple using stock price data and a simulation study. Unlike traditional techniques, which provide point
 estimates, this method yields interval-based results and achieves a lower mean squared error (MSE),
 thereby enhancing the accuracy and dependability of the population mean estimation.

DOI: 10.5281/zenodo.17088736