Sumários

Lecture 9

28 Março 2025, 10:30 RUI MIGUEL BATISTA PAULO

Inference for a GLM with known and unknown dispersion parameter.


Lecture 8

21 Março 2025, 10:30 RUI MIGUEL BATISTA PAULO

Solutions of HW problems.


Lecture 7

14 Março 2025, 10:30 RUI MIGUEL BATISTA PAULO

Estimation of the vector of regression coefficients via maximum likelihood. Estimation of phi.


Lecture 6

7 Março 2025, 10:30 RUI MIGUEL BATISTA PAULO

Unit deviance. Dispersion form of an exponential dispersion model. The saddlepoint approximation. Scaled total deviance and its approximate distribution.


Lecture 5

28 Fevereiro 2025, 10:30 RUI MIGUEL BATISTA PAULO

Comparing nested models: sequential anova table. Diagnostics. 


Generalized linear models: random and systematic structure. The exponential dispersion family: definition, examples, properties.