NEW ROBUST CUT-OFF VALUES IN DETERMINING BAD LEVERAGE POINTS IN THE LOGISTIC REGRESSION MODEL

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Atıf İçin Kopyala

GÜNDOĞAN AŞIK E., ALTIN YAVUZ A., KÜÇÜK Z.

JOURNAL OF MEHMET AKIF ERSOY UNIVERSITY ECONOMICS AND ADMINISTRATIVE SCIENCES FACULTY, cilt.8, sa.2, ss.630-650, 2021 (ESCI)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 8 Sayı: 2
• Basım Tarihi: 2021
• Doi Numarası: 10.30798/makuiibf.691623
• Dergi Adı: JOURNAL OF MEHMET AKIF ERSOY UNIVERSITY ECONOMICS AND ADMINISTRATIVE SCIENCES FACULTY
• Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), TR DİZİN (ULAKBİM)
• Sayfa Sayıları: ss.630-650
• Anahtar Kelimeler: Logistic Regression, High Leverage Point, Bad Leverage, Robust, Cut-off Point, IDENTIFICATION
• Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

The high leverage point is called the value far from the center of the x space. Good or bad leverage points can be high leverage points. Bad leverage points misclassified observations and outliers that are incompatible with other observation values in the x space. The group deletion method used to eliminate the masking and swamping problem in determining bad leverage points is also used in the logistic regression model. In this study, some robust cut-off points are proposed for the deviation components method available in the literature for determining bad leverage points. In this study, some robust cut-off points are proposed for the deviation components method available in the literature for determining bad leverage points.