New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures

Nirian MartÍn and Leandro Pardo

Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 10-12, 2311-2321

Abstract: We consider the asymptotic distribution of divergence-based influence measures which are an extension for polytomous logistic regression of an influence measure proposed in Johnson (1985), for binary logistic regression. A numerical example compares the classical Cook’s distance with the divergence based influence measures.

Date: 2014
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DOI: 10.1080/03610926.2013.839038

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