Sumários

Lecture 13

17 Maio 2024, 11:00 • RUI MIGUEL BATISTA PAULO

Homework problems. Further remarks on quasi-likelihood.

Lecture 12

10 Maio 2024, 11:00 • RUI MIGUEL BATISTA PAULO

Poisson GLM: continuation.


Quasi-likelihood: introduction.

Lecture 11

3 Maio 2024, 11:00 • RUI MIGUEL BATISTA PAULO

GLM for proportions: diagnostic testes.


GLM for counts: Poisson GLM. Modeling rates. Offsets. Interpretation of the coefficients with a log-link function. Example.

Lecture 10

26 Abril 2024, 11:00 • RUI MIGUEL BATISTA PAULO

Inference for a GLM: case of unknown dispersion parameter.


GLM for proportions. Interaction terms. Interpretation of the regression parameters in the case of the canonical link.

Lecture 9

19 Abril 2024, 11:00 • RUI MIGUEL BATISTA PAULO

Inference for a GLM with known dispersion parameter.