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Title: Alguns mètodes d’anàlisi multivariant
Author: Vallès Closa, Pol
Director/Tutor: Vives i Santa Eulàlia, Josep, 1963-
Florit i Selma, Carmen
Keywords: Anàlisi multivariable
Treballs de fi de grau
Distribució (Teoria de la probabilitat)
Anàlisi factorial
Anàlisi de regressió
Multivariate analysis
Bachelor's theses
Distribution (Probability theory)
Factor analysis
Regression analysis
Issue Date: 20-Jun-2021
Abstract: [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.
Note: 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
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

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