Mullat, Joseph (2025): Visualization of Correlation Tables by Positive/Negative Threshold for Coefficients Significance.
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Abstract
This work introduces a novel approach to the visualization of correlation tables, guided by positive and negative significance thresholds of correlation coefficients. Traditional methods for visualizing correlation matrices often rely on heuristic color schemes, which lack a robust analytical foundation. To address this limitation, we propose a method that constructs and analyzes an ordered sequence of so called momentums, separating positive and negative correlations based on their significance. By leveraging mathematical principles of an optimal solutions, this approach enhances the clarity and interpretability of correlation patterns.
Item Type: | MPRA Paper |
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Original Title: | Visualization of Correlation Tables by Positive/Negative Threshold for Coefficients Significance |
Language: | English |
Keywords: | correlation, classification, coefficient, defining, sequenc |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C46 - Specific Distributions ; Specific Statistics C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access |
Item ID: | 123910 |
Depositing User: | Joseph E. Mullat |
Date Deposited: | 14 Mar 2025 08:07 |
Last Modified: | 14 Mar 2025 08:07 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/123910 |