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tfg_valles_closa_pol.pdf (2.15 MB)

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Bachelor thesis

Publication date

2021-06-20

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cc-by-nc-nd (c) Pol Vallès Closa, 2021
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/185854

Alguns mètodes d’anàlisi multivariant

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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.

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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

Subject

Anàlisi multivariable, Treballs de fi de grau, Distribució (Teoria de la probabilitat), Anàlisi factorial, Anàlisi de regressió

Subject (English)

Multivariate analysis, Bachelor's theses, Distribution (Probability theory), Factor analysis, Regression analysis

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Treballs Finals de Grau (TFG) - Matemàtiques

Citation

VALLÈS CLOSA, Pol. Alguns mètodes d’anàlisi multivariant. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/185854

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