In this paper we generalize different approaches of estimating the ridge parameter k proposed by Muniz et al. (Comput Stat, <CitationRef CitationID="CR16">2011</CitationRef>) to be applicable for logistic ridge regression (LRR). These new methods of estimating the ridge parameter in LRR are evaluated by means of Monte Carlo simulations...</citationref>

This paper introduces a shrinkage estimator for the logit model which is a generalization of the estimator proposed by Liu (1993) for the linear regression. This new estimation method is suggested since the mean squared error (MSE) of the commonly used maximum likelihood (ML) method becomes...