MODIFIED FUZZY-ROBUST RIDGE REGRESSION FOR MULTICOLLINEAR, OUTLIER-CONTAMINATED DATA
Multicollinearity is known to have a significant impact on the stability of linear regression parameter estimation, while the presence of outliers tends to compound this problem. Ridge regression helps to improve the multicollinearity problem, but it is highly sensitive to outliers. This paper prop...
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| Hoofdauteurs: | , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
University of Zakho
2026-04-01
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| Reeks: | Science Journal of University of Zakho |
| Onderwerpen: | |
| Online toegang: | https://sjuoz.uoz.edu.krd/index.php/sjuoz/article/view/1582 |
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