- Docente: Carlo Alberto Bosello
- Credits: 6
- SSD: MAT/06
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in Mathematics (cod. 8010)
Learning outcomes
The aim of the course is to give students the basic knowledge of statistics for data-analysis and of statistical elementary methods that can be applied to other mathematical areas. In the end of the course, the student possesses the ability to study the behavior of samples of a random variable and to apply statistical elementary methods to some problems of analysis, number theory and mathematical physics.
Course contents
1 Parametric methods
1.1 Estimation theory
1.1.1 Parametric point estimation
1.1.2 Confidence sets
1.2 Hypothesis testing
2 Non parametric methods
Readings/Bibliography
Hwei Hsu, Probabilità, variabili casuali e processi stocastici, McGraw-Hill
Alexander M. Mood, Franklin A. Graybill, Duane C. Boes, Introduzione alla statistica, McGraw-Hill
Bernard W. Lindgren, Statistical Theory, Collier Macmillan
Pasquale Erto, Probabilità e statistica, McGraw-Hill
Azzalini, Inferenza statistica, Springer verlag
Alfredo Rizzi, Inferenza statistica, UTET
Teaching methods
Lectures
Assessment methods
Final written test covering both applications and theory.
Office hours
See the website of Carlo Alberto Bosello