On Ridge Parameters in Logistic Regression

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A Poisson ridge regression estimator (2011, result): “Another factor we choose to vary is the sample size since previous studies (e.g. Muniz and Kibria (2009) and Månsson and Shukur (2010)) indicate that the gain of applying PRR is larger when n is small.”
On Liu Estimators for the Logit Regression Model (2012, methodology): “Among them Akdeneiz and Kaciranlar (1995), Kaciranlar (2003) and Alheety and Kibria (2009) and very recently Kibria (2011) are notable.”
A two-parameter estimator in the negative binomial regression model (2014, unknown): “Some of the few papers are Nyquist [7], Schaefer et al. [8], Månsson [9] and Månsson [10] and Månsson and Shukur [11].”
Improved Liu Estimators for the Poisson Regression Model (2012, methodology): “In Mansson and Shukur (2011), a ridge regression estimator (RRE) was presented for logistic regression which was a generalization of that proposed for linear regression by Hoerl and Kennard (1970).”