Robust methods for detecting bad leverage point in logistic regression

IF 0.6 Q3 ENGINEERING, MULTIDISCIPLINARY
Ebru GÜNDOĞAN AŞIK
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引用次数: 0

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
逻辑回归中不良杠杆点检测的鲁棒方法
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来源期刊
CiteScore
1.10
自引率
16.70%
发文量
60
审稿时长
24 weeks
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