Relation between Weighted Mean Matrices and Area of Application and Challenges

This paper established relationship between (N, pn) and (N, qn) weighted mean matrices, for lp spaces as 1 < p < ∞). This paper also contains its components, applications and Challenges and Considerations. A flexible tool that considers the importance of individual data points, weighted mean matrices provide more in-depth data analysis. For the purpose of making well-informed judgments based on weighted averages, they find applications in a variety of fields, including environmental science and finance. Weighted mean matrices can shed light on complicated data sets when used correctly.

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Publication Details

Journal
Journal of Business and Social Sciences
Published
2024-12-31
DOI
https://doi.org/10.3126/jbss.v6i1.78757
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
Field-Weighted Citation Impact
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article

Relation between Weighted Mean Matrices and Area of Application and Challenges

Nand Kishor Kumar, Raj Kumar Mahato
Journal of Business and Social Sciences
Advanced Mathematical Theories and Applications
article

Relation between Weighted Mean Matrices and Area of Application and Challenges

Nand Kishor Kumar, Raj Kumar Mahato
article en

Abstract

This paper established relationship between (N, pn) and (N, qn) weighted mean matrices, for lp spaces as 1 < p < ∞). This paper also contains its components, applications and Challenges and Considerations. A flexible tool that considers the importance of individual data points, weighted mean matrices provide more in-depth data analysis. For the purpose of making well-informed judgments based on weighted averages, they find applications in a variety of fields, including environmental science and finance. Weighted mean matrices can shed light on complicated data sets when used correctly.

Journal of Business and Social SciencesVol. 6(1)
Tribhuvan University (NP)
Openalex Percentile: Top 74%
Advanced Mathematical Theories and Applications
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