%0 Book Section
%T Minimum Rényi pseudodistance estimators for logistic regression models
publisher Springer
%D 2022
%U 978-3-031-04137-2
%@ https://hdl.handle.net/20.500.14352/91716
%X In this work we propose a new family of estimators, called minimum Rényi pseudodistance estimators (MRPE), as a robust generalization of maximum likelihood estimators (MLE) for the logistic regression model based on the Rényi pseudodistance introduced by Jones et al. [14], along with their corresponding asymptotic distribution. Based on this information, we further develop three types of confidence intervals (approximate and parametric and non-parametric bootstrap ones). Finally, a simulation study is conducted considering different levels of outliers, where a better behavior of the MRPE with respect to the MLE is shown.
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