Multivariate Data Analysis Degree in Statistics for Business and

Multivariate Data Analysis
Degree in Statistics for Business and
Insurance
a.a. 2014-15
Code
27003113
Description
Multivariate Data Analysis
Sector Code
SECS-S/01
Single Module Type
OB
Weight
10
Course Year
3
Cycle type Code
S2
Apprenticeship
Lingua di
insegnamento
Contenuti
NO
Italian
Testi di riferimento
Obiettivi formativi
Prerequisiti
Department
of
Economics Statistics
and Finance
Exploratory Multivariate Analysis and its pre-processing: Principal Component
Analysis, Discriminant Analysis, Cluster Analysis: Hierarchical and
non-hierarchical approach. Multiple Linear Regression Model.
Zani S., Analisi dei dati Multidimensionali; vol. 2, Giuffrè Editore. Gherghi M.,
Lauro C., Appunti di Analisi dei Dati Multidimensionale RCE EDIZIONI, 2004.
Bolasco S., Analisi multidimensionale dei dati, Carocci. Fabbris L., Statistica
multivariata. Analisi esplorativa dei dati, McGraw-Hill Companies. Mardia K.V.,
Kent J.T., Bibby J.M., Multivariate Statistical Analysis, Academic Press Inc.
The basic aim is to introduce the main methods of multivariate data analysis
both from a theoretical and applied perspective: multiple regression, principal
component analysis, discriminant analysis, cluster analysis. The objective is to
provide methodological principles for handling complex data structures. The
Course mainly focus on exploratory methodologies. The course makes use of
matrix algebra and requires previous knowledge on probability, statistics,
geometrical representation.
basic knowledge of statistics, Statistical Inference, Mathematical Analysis and
Linear Algebra. Exam of statistics
Metodi didattici
Altre informazioni
lectures and laboratory
Teacher’s Page:
http://www.unical.it/portale/strutture/dipartimenti_240/disesf/servizi/tarsitano/
Modalita di verifica
written and oral
dell'apprendimento
Programma esteso
ID Number
001849
Last Name
TARSITANO
First Name
AGOSTINO
Role Code
PO
Activity Type
LEZ
Hours
60