- Docente: Angela Montanari
- Credits: 5
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: First cycle degree programme (L) in STATISTICAL SCIENCES (cod. 8054)
Learning outcomes
By the end of the course the student should know the basic theory of normal linear models and should be able to apply them to the analysis of real phenomena.
In particular the student should be able:
- to define a statistical model
- to formulate the normal linear model, estimate its parameters and test their significance
- to use variable selection procedures
- to check the validity of the assumptions the model relies upon
- to perform an anlysis of variance and interpret the results
Course contents
Multiple Linear Regression: Definition, Estimation and Hypothesis Testing. Selection of Predictor Variables in the Multiple Linear Regression Model. Normal Linear Models: Analysis of Variance.
Readings/Bibliography
Lecture notes downloadable from the professor's web page http://www2.stat.unibo.it/montanari
Teaching methods
Lectures and labs using the software R
Assessment methods
Computer and oral examination
Office hours
See the website of Angela Montanari