Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
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Basel: MDPI AG
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English
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Basel: MDPI AG
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Multicollinearity, a critical issue in regression analysis that can severely compromise the stability and accuracy of parameter estimates, arises when two or more variables exhibit correlation with each other. This paper solves this problem by introducing six new, improved two-parameter ridge estimators (ITPRE): NATPR1, NATPR2, NATPR3, NATPR4, NATP...
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Mitigating Multicollinearity in Regression: A Study on Improved Ridge Estimators
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TN_cdi_doaj_primary_oai_doaj_org_article_b13f80aba65342efa184bc0d4e6cc59a
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b13f80aba65342efa184bc0d4e6cc59a
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math12193027
