- Docente: Simone Giannerini
- Credits: 8
- SSD: SECS-S/02
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Rimini
-
Corso:
First cycle degree programme (L) in
Business Economics (cod. 0909)
Also valid for First cycle degree programme (L) in Business Economics (cod. 0909)
Learning outcomes
The course is aimed at describing the main statistical methods relevant in the contexts of market research and quantitative socio-economic analysis.
Course contents
Probability theory and Statistical Inference
Probability theory
1. Random variables and their characteristics.
Statistical inference
1. Parameter estimation: point estimation and confidence
intervals;
2. Hypothesis testing theory;
Multivariate Statistics
1. Multiple regression model
-Introduction: least square estimators;
-Inference on the regression model;
-The problem of multicollinearity;
-Model selection and goodness of fit;
-Residual analysis;
-Diagnostics;
-Real world examples;
2. Cluster analysis
-Introduction;
-Dissimilarity and distance for qualitative and quantitative
variables;
-Review of classification methods: hierarchical methods,
partitional methods;
-Criteria for selecting the number of clusters;
-Real world examples;
Readings/Bibliography
Borra S., Di Ciaccio A., STATISTICA, Metodologie per le scienze
economiche e sociali, McGraw-Hill, 2008, seconda edizione. http://www.ateneonline.it/borra2e/home.asp
Cap 9 § 9.1-9.6,
9.7.1,9.7.2, 9.8.2-9.8.5 (fino a pag. 247), 9.11;
Cap10 §
10.1,10.2,10.4-10.6;
Cap11 § 11.1-11.6,
11.8;
Cap12 § 12.1-12.4,
12.6;
Cap13 § 13.1-13.6,
13.9;
Cap14 § 14.1-14.2 (no
14.2.4), 14.4, 14.5 (no 14.5.3);
Cap16 tutto;
Cap17 tutto;
Cap19 (
http://www.ateneonline.it/borra2e/studenti/isbn6428-5_cap19.pdf),
tutto;
Mignani S., Montanari A., Appunti di Analisi Statistica
Multivariata, II edizione Esculapio, Bologna, 1997.
Cap 1 §1.1-1.5 (senza
sviluppi formali e dimostrazioni)
Cap 2 §2.1-2.3 (senza
sviluppi formali e dimostrazioni)
Cap 7 § 7.1-7.3;
Additional material
A. Montanari: Appunti sulla
Regressione Multipla http://www2.stat.unibo.it/montanari/Didattica/dispensa2.pdf
Slides, exercises, past exams.
http://www2.stat.unibo.it/giannerini/didattica/Rimini/
Teaching methods
- Lectures
- Classes
Assessment methods
- Written examination
Office hours
See the website of Simone Giannerini