Relation between Weighted Mean Matrices and Area of Application and Challenges

Authors

  • Nand Kishor Kumar Trichandra Campus, Department of Mathematics, Tribhuvan University, Nepal https://orcid.org/0000-0003-3844-809X
  • Raj Kumar Mahato Trichandra Campus, Department of Mathematics, Tribhuvan University, Nepal

DOI:

https://doi.org/10.3126/jbss.v6i1.78757

Keywords:

Weighted mean matrices, diagonal matrices, partial summation, Chebychev’s inequality, Nurlund matrix

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.

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Published

2024-12-31

How to Cite

Kumar, N. K., & Mahato, R. K. (2024). Relation between Weighted Mean Matrices and Area of Application and Challenges. Journal of Business and Social Sciences, 6(1), 85–90. https://doi.org/10.3126/jbss.v6i1.78757

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Articles