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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Principais autores:	Adewale F. Lukman, B. M. Golam Kibria, Cosmas K. Nziku, Muhammad Amin, Emmanuel T. Adewuyi, Rasha Farghali
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2023-01-01
叢編:	Mathematics
主題:	Kibria-Lukman estimator logistic regression model Liu estimator multicollinearity ridge regression estimator
在線閱讀:	https://www.mdpi.com/2227-7390/11/2/340
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