2025
Advanced Topics in Multivariate Statistic
Name: Advanced Topics in Multivariate Statistic
Code: MAT11707D
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
In this course we study the most current models considered in Multivariate Statistics. These methods
attempt to give students a broad education and current methods of multivariate statistics to be used in
various scientific fields and various sets of data (categorical and continuous variables, statistical surveys,
large databases, optimization problems, financial problems, economic and management, among others).
The use of statistical software and analysis allow the treatment of databases.
attempt to give students a broad education and current methods of multivariate statistics to be used in
various scientific fields and various sets of data (categorical and continuous variables, statistical surveys,
large databases, optimization problems, financial problems, economic and management, among others).
The use of statistical software and analysis allow the treatment of databases.
Contents
1.Multivariate Distributions (multivariate normal distribution, Wishart distribution, Hotelling distribution,
the Wilks Lambda statistic).
2.Methods of Analysis Interdependence
3.Independent Conponente Analysis
4.Methods of Analysis Dependence
5.Multidimensional Scaling
6.Date Mining
the Wilks Lambda statistic).
2.Methods of Analysis Interdependence
3.Independent Conponente Analysis
4.Methods of Analysis Dependence
5.Multidimensional Scaling
6.Date Mining
Teaching Methods
Theoretical-practical lessons mainly lectured with a blackboard, with e-learning tools, and transparencies. Motivation of students attendance to the classroom and students continuous work.
Introduction to theoretical concepts to illustrate the importance of course contents. Exercises with emphasis in the resolution of real problems, to motivate interest in the course and to demonstrate its utility.
To stimulate individual and group participation within the classroom and at home.
To emphasize the critical analysis and interpretation of data, appealing to software outputs as much as possible.
Evaluation:
To privilege continued evaluation carrying out one test plus individual/group homework projects. If continuous evaluation is not feasible for the student, a final examination is possible, but the individual / group project is still required although with lesser weight for final grade.
Introduction to theoretical concepts to illustrate the importance of course contents. Exercises with emphasis in the resolution of real problems, to motivate interest in the course and to demonstrate its utility.
To stimulate individual and group participation within the classroom and at home.
To emphasize the critical analysis and interpretation of data, appealing to software outputs as much as possible.
Evaluation:
To privilege continued evaluation carrying out one test plus individual/group homework projects. If continuous evaluation is not feasible for the student, a final examination is possible, but the individual / group project is still required although with lesser weight for final grade.
Teaching Staff
- Luís Miguel Lindinho da Cunha Mendes Grilo [responsible]
Certificações
