Covers jacamar data analysis, smoking data models, and challenges with log-linear models in visual impairment data.
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Explores the application of Maximum Likelihood Estimation in binary choice models, covering probit and logit models, latent variable representation, and specification tests.
Explores binary response interpretation, link functions, logistic regression, and model selection using deviances and information criteria.
Explores statistical estimation, regression models, and model selection in parametric models.
