Year: 2023
Type: article
Abstract: High-leverage points, known as good and bad leverage points, are also known as points away from center of x space.Bad leverage points are marginal values that show the incompatibility with misclassified observations and other observation values at x space.In the identification of bad leverage points, the problems of masking and swamping constitute a problem for the logistic regression model just as in the linear regression model.In this research, in addition to existing deviance components (DEVC), robust deviance components (RobDEVC) that are used to identify bad leverage points, different robust methods recommended to be used at the management of deviance components were examined.Also, for these methods, robust cut-off value combinations were examined as well.With the conducted simulation, robust methods recommended to be used in the deviance component method have shown better performance to identify bad leverage points by showing different cut-off values.
Author: Ebru GÜNDOĞAN AŞIK
Institutions: Karadeniz Technical University, Yıldız Technical University
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4387915333