First-order r - d class estimator in binary logistic regression model


ÖZKALE ATICIOĞLU M. R. , Arican E.

STATISTICS & PROBABILITY LETTERS, vol.106, pp.19-29, 2015 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 106
  • Publication Date: 2015
  • Doi Number: 10.1016/j.spl.2015.06.021
  • Title of Journal : STATISTICS & PROBABILITY LETTERS
  • Page Numbers: pp.19-29

Abstract

In order to combat multicollinearity, a new biased estimator in the logistic regression model is introduced by combining principal component and Liu logistic estimators. The properties of the new estimator are discussed and the choice of the shrinkage parameter is proposed. Finally, a simulation study is done to compare the estimators. (C) 2015 Elsevier B.V. All rights reserved.