Sumários

Lecture 8

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

Homework problems.

Lecture 7

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

Estimation of the vector of regression coefficients via maximum likelihood.

Lecture 6

22 Março 2024, 11:00 • 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

15 Março 2024, 11:00 • 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.

Lecture 4

8 Março 2024, 11:00 • RUI MIGUEL BATISTA PAULO

Interpretation of the coefficients of a multiple linear regression model: quantitative variable and qualitative variable.


Interpretation when the response is the log of the variable of interest.

Inference in the context of a linear multiple regression model: marginal significance tests and confidence intervals for the regression coefficients. Confidence intervals for the predicted values.

Comparing nested models: the ANOVA table.