Concerning the Boundedness of Solutions of a First-Order Linear Implicit Volterra-Stieltjes Integro-Differential Equation

Iskandarov, S.; Baigesekov, Abdibait M.; Tolubaev, Zhoro O.; Dyikanov, Gapar Askarovich

doi:10.1007/978-3-030-56433-9_158

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The Neutrosophic Statistics1

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2024

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“…He 41 proposed a fractal model for internal temperature response in porous concrete, advancing understanding in applied mathematics. Iskandarov and Komartsova 42,57 investigated integral perturbations' influence on boundedness in fourth-order linear differential equations. Khankishiyev 43 employed finite differences to solve loaded differential equations, while 44 , 56 explored dark energy solutions without a cosmological constant.…”

Section: The Neutrosophic Statisticsmentioning

confidence: 99%

Estimating neutrosophic finite median employing robust measures of the auxiliary variable

Masood,

Ibrar,

Shabbir

et al. 2024

Sci Rep

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Our study explores neutrosophic statistics, an extension of classical and fuzzy statistics, to address the challenges of data uncertainty. By leveraging accurate measurements of an auxiliary variable, we can derive precise estimates for the unknown population median. The estimators introduced in this research are particularly useful for analysing unclear, vague data or within the neutrosophic realm. Unlike traditional methods that yield single-valued outcomes, our estimators produce ranges, suggesting where the population parameter is likely to be. We present the suggested generalised estimator's bias and mean square error within a first-order approximation framework. The practicality and efficiency of these proposed neutrosophic estimators are demonstrated through real-world data applications and the simulated data set.

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Section: The Neutrosophic Statisticsmentioning

confidence: 99%