Analysis Of Categorical Data – prof. Gabriele Soffritti

• Additional materials useful for the preparation of the exam will be available on the platform "Virtual learning environment" of the University of Bologna for all enrolled students:
• slides containing a summary of the topics discussed by the teacher during the theoretical lessons
• materials useful for the practical lessons.
• The teacher's oral explanations are completely missing in the slides, so such slides are not self-explanatory and only represent a tool to see which specific topics have been treated during the lessons.

Argomenti del programma: Introduction (2 hours) Data matrices and contingency tables. Descriptive and inferential techniques for the analysis of contingency tables. Probabilistic methods (11 hours) Probability structure for contingency tables. Loglinear models for contingency tables: - model specification; - parameter estimation and interpretation; - goodness-of-fit measures; - model selection and comparison; - diagnostics for checking…