New influence measures in polytomous logistic regression models based on phi-divergence measures

Martín Apaolaza, Níriam; Pardo Llorente, Leandro

New influence measures in polytomous logistic regression models based on phi-divergence measures

Official URL

https://doi.org/10.1080/03610926.2013.839038

Publication date

2014

Authors

Martín Apaolaza, Níriam

Pardo Llorente, Leandro

Publisher

Taylor & Francis

Citations

Exportar

URI

https://hdl.handle.net/20.500.14352/33601

Citation

MartÍn, Nirian, y Leandro Pardo. «New Influence Measures in Polytomous Logistic Regression Models Based on Phi-Divergence Measures». Communications in Statistics - Theory and Methods, vol. 43, n.o 10-12, mayo de 2014, pp. 2311-21. DOI.org (Crossref), https://doi.org/10.1080/03610926.2013.839038.

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.