Pardo Llorente, Julio ÁngelPardo Llorente, María del Carmen2023-06-202023-06-202009-09-010378-375810.1016/j.jspi.2009.02.014https://hdl.handle.net/20.500.14352/42418This work introduces specific tools based on phi-divergences to select and check generalized linear models with binary data. A backward selection criterion that helps to reduce the number of explanatory variables is considered. Diagnostic methods based on divergence measures such as a new measure to detect leverage points and two indicators to detect influential points are introduced. As an illustration, the diagnostics are applied to human psychology data.engjournal articlehttp://www.sciencedirect.com/science/article/pii/S0378375809000378http://www.sciencedirect.comrestricted access519.22Generalized linear modelBinary data-DivergenceBackward procedureDiagnosticsEstadística matemática (Matemáticas)1209 Estadística