K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model

K-L Estimator: Dealing with Multicollinearity in the Logistic Regression Model

Multicollinearity negatively affects the efficiency of the maximum likelihood estimator (MLE) in both the linear and generalized linear models. The Kibria and Lukman estimator (KLE) was developed as an alternative to the MLE to handle multicollinearity for the linear regression model. In this study,...

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Bibliographic Details
Main Authors: Adewale F. Lukman, B. M. Golam Kibria, Cosmas K. Nziku, Muhammad Amin, Emmanuel T. Adewuyi, Rasha Farghali
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Mathematics
Subjects:
Kibria-Lukman estimator
logistic regression model
Liu estimator
multicollinearity
ridge regression estimator
Online Access:https://www.mdpi.com/2227-7390/11/2/340

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