Sumários

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.

Lecture 4

21 Fevereiro 2025, 10:30 • 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 (to be continued.)