Temario de la asignatura
Estos bloques orientan el estudio. Adaptamos las clases al programa y al material que estés trabajando.
1
Introduction to multivariate statistical analysis
- Building blocks and selection of techniques
- Six-step approach to multivariate model building
2
Data assessment and evaluation
- Graphical and statistical examination
- Outliers, missing data and assumptions
3
Principal-component and cluster analysis
- Exploratory factor and principal-component analysis
- Hierarchical and k-means clustering
4
Multiple regression analysis
- Design, assumptions and model building
- Dummy variables and influential observations
5
Linear and non-linear regression analysis
- Curvilinear relationships and transformations
- Training and assessment of regression models
6
Multiple discriminant analysis
- Classification with several predictors
- Interpretation and evaluation of discriminant models