Resumen de Divergence measures and logistic regression models
In this paper we present a review of some results about inference based on f-divergence measures, under assumptions of logistic regression model . The minimum f-divergence estimator, which is seen to be a generalization of the maximum likelihood estimator is considered. This estimator is used in a f-divergence measure which is the basis of new statistics for solving some important problems regarding logistic regression models: fitting the logistic regression model, residuals and dimensional reduction. Finally, an extension is presented when we consider a multinomial response instead a binary response.
