•GUIDA ECONOMIA 07-08 - Università degli studi di Udine

182 prospectus udine
Bibliography
- S. BORRA, A. DI CIACCIO, Statistica,
Metodologie per le scienze economiche e
sociali, McGraw-Hill, 2004.
- L. PAGANI, Lezioni di Elementi di informatica
e analisi dei dati, second edition,
Forum, Udine, 2003.
Optional textbooks:
- G. BONOLLO, Applicazioni statistiche con
Excel, Franco Angeli, Milano, 2001.
- B.J. DRETZKE, K.A. HEILMAN, Statistics
with Microsoft Excel, Prentice Hall, NJ,
1998.
- L. PACE, A. SALVAN, Introduzione alla Statistica,
Cedam, Padova, 1996.
- L. PAGANI, Complementi ed esercizi di statistica
descrittiva, second edition, Cisalpino
Istituto Editoriale Universitario, Bologna,
1997.
DATA ANALYSIS
(CdL BF, EC, SCSBM)
Prof.ssa Michela Battauz
Contents
1. Introduction
Introduction to basic statistical concepts:
observed phenomenon (distinguishing
between different kinds of variables); statistical
units; population; complete or
sample survey.
2. Frequency distribution
Absolute, relative and percent frequency
(both simple and cumulative) for discrete
variables (both in the qualitative and
quantitative case). Absolute and relative
frequency and density functions for the
continuous variable case. Frequency distributions
graphs. Distribution function
for the continuous variable in the case of
class categorization.
3. Indexes
Location measures: mean, median,
mode, percentiles. Dispersion measures:
range, interquartile range, variance, standard
deviation and coefficient of variation.
Gini concentration index (with the
Lorenz curve plot). The box & whiskers
plot.
4. Bivariate analysis
Association analysis: two-way frequency
tables, scatter plot, conditional mean and
variance, covariance and Pearson correlation
index. Simple linear regression: least
squares point estimates; regression line;
goodness of fit.
5. Exercises
All topics will be supported by some
examples and exercises.
Bibliography
- S. BORRA, A. DI CIACCIO, Statistica,
Metodologie per le scienze economiche e
sociali, McGraw-Hill, 2004.
Optional textbooks:
- L. PAGANI, Lezioni di Elementi di informatica
e analisi dei dati, second edition,
Forum, Udine, 2003.
- G. BONOLLO, Applicazioni statistiche con
Excel, Franco Angeli, Milano, 2001.
- B.J. DRETZKE, K.A. HEILMAN, Statistics
with Microsoft Excel, Prentice Hall, NJ,
1998.
- L. PACE, A. SALVAN, Introduzione alla Statistica,
Cedam, Padova, 1996.
- L. PAGANI, Complementi ed esercizi di statistica
descrittiva, second edition, Cisalpino Istituto
Editoriale Universitario, Bologna, 1997.
DATA MINING
Prof. Giovanni Fonseca
Aims
The course aims to present recentlydeveloped
techniques for data analysis.
The different methods are introduced
from a theoretical point of view. Examples
and applications are presented in
computer lab sessions.
Contents
1. Linear and Generalized Linear Models:
binomial and Poisson regression.