Neutrosophic $\mathcal{I}$-Statistical Convergence of a Sequence of Neutrosophic Random Variables In Probability

This paper presents a novel perspective on established neutrosophic statistical convergence by utilizing ideals and proposing new ideas. Specifically, we explore the neutrosophic $\mathcal{I}$-statistical convergence of sequences of neutrosophic random variables (briefly, NRVs) in probability, as well as the neutrosophic $\mathcal{I}% $-lacunary statistical convergence and neutrosophic $\mathcal{I}$-$\lambda $-statistical convergence of such sequences in probability. Additionally, we investigate their interconnections and examine some fundamental properties of these concepts.

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Publication Details

Journal
Universal Journal of Mathematics and Applications
Published
2025-06-27
DOI
https://doi.org/10.32323/ujma.1681099
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
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article

Neutrosophic $\mathcal{I}$-Statistical Convergence of a Sequence of Neutrosophic Random Variables In Probability

Ömer Kı̇şı̇, Carlos G̃ranados
Universal Journal of Mathematics and Applications
Approximation Theory and Sequence Spaces
article

Neutrosophic $\mathcal{I}$-Statistical Convergence of a Sequence of Neutrosophic Random Variables In Probability

Ömer Kı̇şı̇, Carlos G̃ranados
article en

Abstract

This paper presents a novel perspective on established neutrosophic statistical convergence by utilizing ideals and proposing new ideas. Specifically, we explore the neutrosophic $\mathcal{I}$-statistical convergence of sequences of neutrosophic random variables (briefly, NRVs) in probability, as well as the neutrosophic $\mathcal{I}% $-lacunary statistical convergence and neutrosophic $\mathcal{I}$-$\lambda $-statistical convergence of such sequences in probability. Additionally, we investigate their interconnections and examine some fundamental properties of these concepts.

Universal Journal of Mathematics and ApplicationsVol. 8(2)
Bartin University (TR), Universidad Nacional Abierta y a Distancia (CO)
Openalex Percentile: Top 85%
Approximation Theory and Sequence Spaces
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