- Docente: Cinzia Franceschini
- SSD: SECS-S/03
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Business Administration (cod. 0897)
Learning outcomes
Basic knowledge of statistics: mean dependence, linear dependence, absolute dependence. Statistic tests, basic probability.
Course contents
Learning outcomes
At the end of the course, the student will have a good knowledge of basic and advanced multivariate statistical techniques useful to conduct statistical analysis on real dataset. The course blends theory and practice for a better understanding of the subject.
Course contents
Two-way tables: joint, marginal and conditional distributions
Association: independence, chi-square test
Concordance: covariance, correlation
Data matrix
Mean vector
Covariance matrix
Concentration matrix
Simple Linear Regression
Residual plot
Multivariate regression
Partial correlation
Readings/Bibliography
Izenman, A. J. (2008). Modern Multivariate Statistical Techniques: Regression, Classification, and Manifold Learning, Springer.
Thomas H. Wonnacott, Ronald J. Wonnacott , Introductory Statistics, 5th Edition, Wiley
Slides of the course.
Teaching methods
Frontal Lectures
Assessment methods
No final test, this is a crash course.
Teaching tools
Blackboard, slides.
Office hours
See the website of Cinzia Franceschini