Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria–Lukman Estimator

Handling Multicollinearity and Outliers in Logistic Regression Using the Robust Kibria–Lukman Estimator

Logistic regression models encounter challenges with correlated predictors and influential outliers. This study integrates robust estimators, including the Bianco–Yohai estimator (BY) and conditionally unbiased bounded influence estimator (CE), with the logistic Liu (LL), logistic ridge (LR), and lo...

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Bibliographic Details
Main Authors: Adewale F. Lukman, Suleiman Mohammed, Olalekan Olaluwoye, Rasha A. Farghali
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Axioms
Subjects:
logistic regression
outliers
multicollinearity
robust estimators
Bianco–Yohai estimator
ridge regression estimator
Online Access:https://www.mdpi.com/2075-1680/14/1/19
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