On almost unbiased ridge logistic estimator for the logistic regression model

19Citations
Citations of this article
24Readers
Mendeley users who have this article in their library.

Abstract

Schaefer et al. [15] proposed a ridge logistic estimator in logistic regression model. In this paper a new estimator based on the ridge logistic estimator is introduced in logistic regression model and we call it as almost unbiased ridge logistic estimator. The performance of the new estimator over the ridge logistic estimator and the maximum likelihood estimator in scalar mean squared error criterion is investigated. We also present a numerical example and a simulation study to illustrate the theoretical results.

Cite

CITATION STYLE

APA

Wu, J., & Asar, Y. (2016). On almost unbiased ridge logistic estimator for the logistic regression model. Hacettepe Journal of Mathematics and Statistics, 45(3), 989–998. https://doi.org/10.15672/HJMS.20156911030

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free