A Critique on Neutrosophic Estimators of Finite Population Mean Using Interval-Valued Data

Abstract

Numerous recent studies have proposed neutrosophic ratio-type estimators of the finite population mean for interval-valued data using auxiliary information. These studies report neutrosophic bounds of the mean-squared errors of the estimators. This study employs simulation-based empirical distributions to show that such bounds are often inaccurate and misleading, highlighting the need for more reliable inference when analyzing interval-valued data.