Performance of the almost unbiased ridge-type principal component estimator in logistic regression model

Wu, JiboAsar, Yasin2024-02-232024-02-2320180361-09181532-4141https://doi.org/10.1080/03610918.2017.1364384https://hdl.handle.net/20.500.12452/13068This article considers some different parameter estimation methods in logistic regression model. In order to overcome multicollinearity, the almost unbiased ridge-type principal component estimator is proposed. The scalar mean squared error of the proposed estimator is derived and its properties are investigated. Finally, a numerical example and a simulation study are presented to show the performance of the proposed estimator.eninfo:eu-repo/semantics/closedAccessAlmost Unbiased Ridge EstimatorEigenvaluesLogistic Regression ModelPrincipal ComponentScalar Mean Squared ErrorPerformance of the almost unbiased ridge-type principal component estimator in logistic regression modelArticle4710292529372-s2.0-85029450018Q3WOS:000449681200008Q410.1080/03610918.2017.1364384