Pardo Llorente, María del CarmenSkiadas, Christos H.2023-06-202023-06-202010978-0-8176-4798-810.1007/978-0-8176-4799-5_7https://hdl.handle.net/20.500.14352/45375Conference: 12th International Symposium on Applied Stochastic Models and Data Analysis Location: Chania, Greece Date: MAY 29-JUN 01, 2007A generalized hat matrix based on Φ-divergences is proposed to determine how much influence or leverage each data value can have on each fitted value to a generalized linear model for ordinal data. After studying for evidence of points where the data value has high leverage on the fitted value, if such influential points are present, we must still determine whether they have had any adverse effects on the fit. To evaluate it we propose a new family of residuals based on Φ-divergences. All the diagnostic measures are illustrated through the analysis of real data.engbook parthttp://link.springer.com/chapter/10.1007%2F978-0-8176-4799-5_7#http://link.springer.com/restricted access519.22Generalized linear modelsOrdinal multinomial dataMinimum Φ-divergence estimationHat matrixLeveragePoints outliersEstadística matemática (Matemáticas)1209 Estadística