MULTIVARIATE DATE ANALYSIS (UNIT 2)
cod. 1006413

Academic year 2017/18
1° year of course - Second semester
Professor
Piero GANUGI
Academic discipline
Statistica economica (SECS-S/03)
Field
Attività formative affini o integrative
Type of training activity
Related/supplementary
42 hours
of face-to-face activities
6 credits
hub: PARMA
course unit
in ITALIAN

Integrated course unit module: MULTIVARIATE DATE ANALYSIS

Learning objectives

The main goal of the course is to supply some fundamental topics of multivariate analysis. Goal of the course is also to teach to the student to use multivariate analysis in the solution of applied problems which have a particular relevance in the firm.

Prerequisites

Knowledge of the basics of Statistics.

Course unit content

Univariate Distributions. Normal, Uniform , Cauchi, Pareto, Exponential, t di Student, Chi, F, Bernoulli, Binomial, Poisson.

Bivariate distributions. Conditional and Marginal Distrributions. Bivariate Normal. Bivariate Uniform.

Sum and product of casual variables. Central limit theorem.

Means.

Multivariate distances.

Principal Components.
Multivariate regression.
Anova .

Full programme

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Bibliography

Cerioli A. Zani S. Analisi dei dati e data mining per le decisioni aziendali, Giuffrè editore, Milano. 2007

Montgomery D.C. Progettazione e analisi degli esperimenti, Mc Graw Hill Milano, 2005.

Flury B. Introduction to Multivariate Analysis, Springer, New York, 1997.

Teaching methods

Classes. Laboratory with R.

Assessment methods and criteria

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Other information

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2030 agenda goals for sustainable development

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