Minimum phi-divergence estimator in logistic regression models

Pardo Llorente, Julio ÁngelPardo Llorente, LeandroPardo Llorente, María del Carmen2023-06-202023-06-202006-010932-502610.1007/s00362-005-0274-7https://hdl.handle.net/20.500.14352/50241A general class of minimum distance estimators for logistic regression models based on the phi- divergence measures is introduced: The minimum phi- divergence estimator, which is seen to be a generalization of the maximum likelihood estimator. Its asymptotic properties are studied as well as its behaviour in small samples through a simulation study.engMinimum phi-divergence estimator in logistic regression modelsjournal articlehttp://www.springerlink.com/content/hv6733q0308v37gn/fulltext.pdfhttp://www.springerlink.comrestricted access519.22Logistic regression modelMinimum C-divergence estimatorMonte Carlo simulationNewton-Raphson method.Estadística matemática (Matemáticas)1209 Estadística