- Docente: Gabriele Soffritti
- Credits: 10
- SSD: SECS-S/01
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in STATISTICAL SCIENCES (cod. 8055)
Course contents
Descriptive and inferential techniques for two-way contingency tables.
Multivariate descriptive methods for the analysis of qualitative data. Simple and multiple correspondence analysis.
Multivariate probabilistic methods for the analysis of qualitative data. Log-linear models for contingency tables. Latent class models. Latent trait models.
Readings/Bibliography
*M. Greenacre and J. Blasius (editors). Multiple correspondence analysis and related methods. Boca Raton: Chapman & Hall, 2006.
A. Agresti. Categorical data analysis,Secondedition.Hoboken: John Wiley & Sons, 2002, chapters 1-3, 8-9.
D. J. Bartholomew, M. Knott. Latent variable models and factor analysis,Secondedition.London: Arnold, 1999.
* Digital document available at the library of the Statistical Science Department.
Teaching methods
Theoretical and practical lessons.
Assessment methods
Written and oral exam.
Teaching tools
Some additional readings concerning the topics which are not included in the recommended textbooks will be indicated during the lessons.
Office hours
See the website of Gabriele Soffritti