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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In addition, we shall establish some results about weight $g$-statistical core.
📌 3 Key Takeaways
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Objective & Hypothesis:In this paper, by using weight $g$-statistical density we introduce weight $g$-statistical supremum-infimum for real valued sequences.
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Key Findings & Data:We also define weight $g$-statistical limit supremum-infimum with the help of above new concepts.
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Conclusion & Impact:In addition, we shall establish some results about weight $g$-statistical core.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Weighted density · Weighted statistical limit supremum-infimum · weighted statistical core
Abstract
In this paper, by using weight $g$-statistical density we introduce weight $g$-statistical supremum-infimum for real valued sequences. We also define weight $g$-statistical limit supremum-infimum with the help of above new concepts. In addition, we shall establish some results about weight $g$-statistical core.
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Cite This Article
Altınok, M. (2022). Weighted Statistical Limit Supremum-Infimum. Turkish Journal of Mathematics and Computer Science, Volume: 14 Issue: 1. https://doi.org/10.47000/tjmcs.975585