Optimization in Generalized Linear Models: a Case Study

The maximum likelihood method is usually chosen to estimate the regression parameters of Generalized Linear Models (GLM) and also for hypothesis testing and goodness of fit tests. The classical method for estimating GLM parameters is the Fisher scores. In this work we propose to compute the estimate...

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Detalhes bibliográficos
Autor principal: Silva, Eliana Costa e (author)
Outros Autores: Correia, Aldina (author), Lopes, Isabel Cristina (author)
Formato: article
Idioma:eng
Publicado em: 2017
Assuntos:
Nonlinear Optimization
Generalized Linear Models
Gamma Distribution
Inference
Water Quality
Texto completo:http://hdl.handle.net/10400.22/10195
País:Portugal
Oai:oai:recipp.ipp.pt:10400.22/10195

Texto Completo

http://hdl.handle.net/10400.22/10195

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