Course detail

LCE5868 - Generalized Linear Models

Credit hours

In-class work
per week
per week
15 weeks
120 hours

Clarice Garcia Borges Demetrio
Geert Molenberghs

Teaching a special class of models to generalize the linear models classics, showing the estimation techniques, verification of adjustment of the models, diagnoses, of inference and of obtaining the confidence intervals.

Exponential family and the generalized linear model. Pets: methods, maximum likelihood and of least squares. Inference methods and properties in large samples. The model verification techniques: function, deviation deviation analysis and analysis of waste. The logistic regression models, analysis of variance and covariance as generalized linear models. Binary data and logistic models, probit and complement log-log. Contingency tables and log-linear models. Models with constant coefficient of variation. Superdispersão. Mixed linear models.

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