Exploring new estimators in ridge regression: Addressing multicollinearity in economic and petroleum product data analysis
Multicollinearity remains a major challenge in regression analysis, leading to unreliable parameter estimates and reduced predictive accuracy. Existing preprocessing methods, such as K1 to K9, attempt to mitigate this issue but are not universally effective. This study proposes three novel ridge reg...
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Main Authors: | Nida Khalid, Dost Muhammad Khan, Muhammad Suhail, Umair Khalil, Eman H. Alkhammash |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-10-01
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Series: | Kuwait Journal of Science |
Subjects: | |
Online Access: | https://www.sciencedirect.com/science/article/pii/S2307410825000926 |
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