%0 Journal Article
%A Martín Apaolaza, Níriam
%A Pardo Llorente, Leandro
%T Minimum Phi-divergence estimators for loglinear models with linear constraints and multinomial sampling
%D 2008
%@ 0932-5026
%U https://hdl.handle.net/20.500.14352/50268
%X In this paper the family of phi-divergence estimators for loglinear models with linear constraints and multinomial sampling is studied. This family is an extension of the maximum likelihood estimator studied by Haber and Brown (1986). A simulation study is presented and some alternative estimators to the maximum likelihood are obtained.
%~