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| STAT0750-1 | Multivariate statistical analysis (software R)
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| Duration : | 10h Th, 10h Pr |
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| Number of credits : |
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| Lecturer : | Gentiane Haesbroeck |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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Course contents :
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| The course is a general introduction to the methods used in multivariate statistics, i.e. when one studies several variables simultaneously. The course entails the following chapters:
- Graphical display of multivariate data
- Mean vector and dispersion matrix
- Principal component analysis
- Discriminant analysis
- Multiple regression and correlation |
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Learning outcomes of the course :
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| The course is an introduction to the methods of multivariate data analysis. At the end of the course, the sudent should be capable of defining a multivariate problem, analysing the data and interpreting the results. He/she should also be able to understand the use of multivariate methods in the scientific literature. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| A good knowledge of univarite statistical methods. |
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Planned learning activities and teaching methods :
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| The practical sessions consist in analysing mulltivariate datasets by means of the software package R. |
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Mode of delivery (face-to-face ; distance-learning) :
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| Each course consists of 1h15 of theory and 1h of exercises with R. One lecture will be dedicated to R. The homeworks can be completed at home by the student. |
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Recommended or required readings :
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| There is no lecture notes.
Textbooks are:
- Multivariate statistical methods. D. Morrison, Mc Graw-Hill, Auckland, 1986
- Introduction to multivariate analysis. C. Chatfield et A.J. Collins, Chapman and Hall. ed, London, 1980 |
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Assessment methods and criteria :
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| Written examination. |
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Work placement(s) :
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Organizational remarks :
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| The course will normally take place on Tuesday morning of the fisrt quadrimester in the computer room of the Department of Mathematics (Building B37). |
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Contacts :
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| Lecturer
Gentiane Haesbroeck
Département de Mathématique (B37, bureau 0/60)
Tél: 04/366.95.94
Email: G. Haesbroeck@ulg.ac.be
Assistant
Marie Ernst
Tél: 04/366. 366.94.02
Email: m.ernst@ulg.ac.be |
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