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

摘要

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.