In this paper we study polytomous logistic regression model and the asymptotic properties of the minimum φ-divergence estimators for this model. A simulation study is conducted to analyze the behavior of these estimators as function of the power-divergence measure φ (λ) .
For data generated by stationary Markov chains there are considered estimates of chain parameters minimizing ^-divergences between theoretical and empirical distributions of states. Consistency and asymptotic normality are established and the asymptotic covari-ance matrices are evaluated. Testing of hypotheses about the stationary distributions based on… (More)