Lecture 8

20 Março 2026, 10:30 • RUI PAULO

Solution of HW problems.

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Lecture 7

13 Março 2026, 10:30 • RUI PAULO

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

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Lecture 6

6 Março 2026, 10:30 • RUI PAULO

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

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Lecture 5

27 Fevereiro 2026, 10:30 • RUI PAULO

Comparing nested models: sequential anova table. Diagnostics. Generalized linear models: random and systematic structure. The exponential dispersion family: definition, examples, properties.

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Lecture 4

20 Fevereiro 2026, 10:30 • RUI PAULO

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.)

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