# metadata.dc.description[].value
Treballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2021, Director: Josep Vives i Santa Eulàlia i Carmen Florit i Selma

# metadata.dc.description.abstract[].value
[en] In this project we will study some methods of multivariate analysis and give some interesting examples. In particular, we will treat the following methods:
• Multiple linear regression model: which will allow us to relate a random variable to a random vector and analyze its most important applications in Econometrics.
• Canonical correlation analysis: which will allow us to relate two random vectors.
• Principal component analysis, which allows us to transform a random vector of dimension n to dimension 2 or 3 so that it can be represented graphically.
• Discriminant analysis, which given two populations, tells us where and individual belongs to.
All of this will allow us to have a very strong idea about the different methods of multivariate analysis.

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Matemàtiques