Sala de seminários do Departamento de Estatística- UFSCar-São
Carlos-SP
Título:Power Series Generalized
Linear Models
Marinho G. Andrade
(Autores: Gauss Cordeiro, Marinho G. Andrade and Mario de
Castro)
Abstract
We introduce in this paper a new class of discrete
generalized
linear models to extend the binomial, Poisson and negative
binomial
models to cope with count data. This class of models includes
some
important models such as
log-linear models, logit, probit and negative
binomial models, generalized
Poisson and generalized binomial
regression models, among other models,
which enables the fitting of a
wide range of models to count data. We derive
an iterative process for
fitting these models by maximum likelihood and
discuss inference on the
parameters. The usefulness of the new class of
models is illustrated
with an application to a real data
set.
Estão todos convidados, abraços Josemar
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