Menéndez Calleja, María LuisaPardo Llorente, Julio ÁngelPardo Llorente, Leandro2023-06-202023-06-2020080361-092610.1080/03610920701669710https://hdl.handle.net/20.500.14352/50219In this paper we introduce and study two new families of statistics for the problem of testing linear combinations of the parameters in logistic regression models. These families are based on the phi-divergence measures. One of them includes the classical likelihood ratio statistic and the other the classical Pearson's statistic for this problem. It is interesting to note that the vector of unknown parameters, in the two new families of phi-divergence statistics considered in this paper, is estimated using the minimum phi-divergence estimator instead of the maximum likelihood estimator. Minimum phi-divergence estimators are a natural extension of the maximum likelihood estimator.engjournal articlehttp://www.tandfonline.com/doi/pdf/10.1080/03610920701669710http://www.tandfonline.com/restricted access519.237General linear hypothesesLogistic regression modelMinimum phidivergence estimatorPhi-divergence statisticEstadística matemática (Matemáticas)1209 Estadística