Asar, Y., Erisoglu, M. and Arashi, M. (2016) Developing a Restricted Two Parameter Liu-Type Estimator: A Comparison of Restricted Estimators in the Binary Logistic Regression Model. Communications in Statistics - Theory and Methods, Online.
https://doi.org/10.1080/03610926.2015.1137597

has been cited by the following article:

• TITLE: On the Restricted Almost Unbiased Ridge Estimator in Logistic Regression

  AUTHORS: Nagarajah Varathan, Pushpakanthie Wijekoon

  KEYWORDS: Multicollinearity, Ridge Estimator, Almost Unbiased Ridge Logistic Estimator, Linear Restrictions, Scalar Mean Square Error

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.6, December 8, 2016

  ABSTRACT: In this article, the restricted almost unbiased ridge logistic estimator (RAURLE) is proposed to estimate the parameter in a logistic regression model with exact linear re-strictions when there exists multicollinearity among explanatory variables. The performance of the proposed estimator over the maximum likelihood estimator (MLE), ridge logistic estimator (RLE), almost unbiased ridge logistic estimator (AURLE), and restricted maximum likelihood estimator (RMLE) with respect to different ridge parameters is investigated through a simulation study in terms of scalar mean square error.