Università Roma Tre

1) Elements of basic probability: combinatorics, axioms of probability, conditional probability and independence, random variables (discrete and continuous) with main distributions, limit theorems, examples.
2) Elements of Statistics: random sampling, definition of statistical model and statistics, sufficient/minimal/complete statistics, moment method, maximal likelihood estimators, confidence interval, hypothesis testing, examples.
3) Analysis of specific models.

- Calcolo delle probabilita' (Sheldon Ross)
- Recommended exercises on the Team of the course
- Other written material can be found on the Team of the course