Journal article
New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures
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.
Authors
MartÍn N; Pardo L
Journal
Communication in Statistics- Theory and Methods, Vol. 43, No. 10-12, pp. 2311–2321
Publisher
Taylor & Francis
Publication Date
May 15, 2014
DOI
10.1080/03610926.2013.839038
ISSN
0361-0926