Class 10 (Module II)

20 Abril 2022, 15:00 • Jorge Filipe Campinos Landerset Cadima

[Slides 14-79 (except 55-57 and 64)] The exponential family of distributions: definition; discussion of the Noraml, Poisson, Bernoulli and 'Binomial/n' distributions as special cases of the family, with identification of their parameters. Link functions: the identity link and canonical links for each type of distribution. Logistic Regressions: definition, link function, deduction of the expression for the probability of succes, p; comments about Logistic Regressions. The Hosmer & Lemeshow example and fitting GLMs in R. Estimating the parameters in a GLM: the Maximum Likelihood Method and its difficulties. A quick word about Newton-Raphsin methods and numerical algorithms for parameter estimation. Probit Regression: definition, historical origins and its use in toxicology, properties. A Probit Regression in R with the Hosmer & Lemeshow dataset. The complementary log-log model: definition, properties. An example in R, with the Hosmer & Lemeshow data.
Nota: Esta aula foi leccionada na segunda-feira, dia 2.5.22, das 9h45 às 12h20, na Sala S1, simultaneamente presencial e por zoom.