A New Robust Approach for Multinomial Logistic Regression With Complex Design Model

Elena, Castilla; Pedro J., Chocano
URI: https://hdl.handle.net/10115/27627
DOI: 10.1109/TIT.2022.3187063
Date: 2022-06-29

Abstract

Robust estimators and Wald-type tests are developed for the multinomial logistic regression based on ϕ -divergence measures. We compute the influence function of the proposed estimators and tests and discuss some consequences. Their robustness is illustrated by an extensive simulation study and two real examples.

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