Mathematical Statistics
A.Y. 2024/2025
Learning objectives
The main aim of the course is to introduce the basic concepts of univariate Mathematical Statistics, both from a theoretical and applied point of view. Some first element also of multivariate statistics will be introduced. In particular, the first part of the course will be devoted to classical Mathematical Statistics, the second part to Bayesian Mathematical Statistics.
During the lab activities, the fundamentals of simulations and data analyses will be provieded with advanced software instruments (Matlab, SAS, R or similar software).
During the lab activities, the fundamentals of simulations and data analyses will be provieded with advanced software instruments (Matlab, SAS, R or similar software).
Expected learning outcomes
Basic notions and theorems of univariate Mathematical Statistics.
The student will then be able to apply and broaden his/her knowledge of the subjects in different areas of interest, both in theoretical and applied contexts, and to perform statistical data analyses.
The student will then be able to apply and broaden his/her knowledge of the subjects in different areas of interest, both in theoretical and applied contexts, and to perform statistical data analyses.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Statistica Matematica (prima parte)
MAT/06 - PROBABILITY AND STATISTICS - University credits: 6
Practicals: 36 hours
Lessons: 27 hours
Lessons: 27 hours
Professor:
Villa Elena
Statistica Matematica (seconda parte)
MAT/06 - PROBABILITY AND STATISTICS - University credits: 3
Practicals: 12 hours
Lessons: 18 hours
Lessons: 18 hours
Professor:
Villa Elena
Professor(s)