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Aslam, M. (2023) Uncertainty-Driven Generation of Neutrosophic Random Variates from the Weibull Distribution. Journal of Big Data, 10, Article No. 177.
https://doi.org/10.1186/s40537-023-00860-y

has been cited by the following article:

• TITLE: Revisiting the Neutrosophic Random Variable

  AUTHORS: Abdul Haq, Javid Shabbir

  KEYWORDS: Entropy, Indeterminacy, Likelihood Function, Neutrosophic Random Variable, Neutrosophic Statistics

  JOURNAL NAME: Open Journal of Statistics, Vol.16 No.5, September 29, 2026

  ABSTRACT: We show that a neutrosophic random variable with fixed interval-valued indeterminacy is a deterministic scaling of a classical random variable. The lower and upper bounds of the interval introduce no independent source of randomness, and the resulting statistical and likelihood-based inferences follow directly from those of the underlying classical random variable. Consequently, the interval representation contributes no additional uncertainty or inferential content beyond that already present in the classical formulation. Thus, under fixed interval-valued indeterminacy, the neutrosophic random variable does not provide a substantive extension of classical probability theory.