RT Journal Article
T1 Selecting and checking a binomial response generalized linear model using phi-divergences
A1 Pardo Llorente, Julio Ángel
A1 Pardo Llorente, María del Carmen
AB This 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.
PB Elsevier Science
SN 0378-3758
YR 2009
FD 2009-09-01
LK https://hdl.handle.net/20.500.14352/42418
UL https://hdl.handle.net/20.500.14352/42418
LA eng
DS Docta Complutense
RD 30 abr 2024