| Subject |
Distribution and structural assumptions of the generalized linear model, link and
response function
Logit, Probit and complementary log-log model, loglinear Poisson model, multivariate logistic regression
parameter estimation (ML estimation, score function, numerical optimization, existence, uniqueness and asymptotic properties)
tests of linear hypotheses; model choice, goodness of fit
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