Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem

Abstract

This paper proposes a novel method to estimate parameters in a logistic regression model. After obtaining the estimators, their asymptotic properties are rigorously investigated.

Contaminated distribution, Cramer-von Mises optimization, logistic function, maximum likelihood, robustness