Performance of the almost unbiased ridge-type principal component estimator in logistic regression model
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Taylor & Francis Inc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
Anahtar Kelimeler
Almost Unbiased Ridge Estimator, Eigenvalues, Logistic Regression Model, Principal Component, Scalar Mean Squared Error
Kaynak
Communications In Statistics-Simulation And Computation
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
47
Sayı
10
