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| STAT1217-1 | Complements of multivariate analysis
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| Duration : | 24h Pr, 24h Th |
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| Number of credits : |
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| Lecturer : | Rodolphe Palm |
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Language(s) of instruction :
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| French language |
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Course contents :
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| - Correspondance analysis (simple and multiple)
- Multidimensionnel scaling; Manova
- Canonical discriminant analysis
- Mahalanobis distance and applications
- Canonical correlation |
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Learning outcomes of the course :
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| To learn several important multivariate methods often used in data analysis, in addition to the course of Elements of multivariate statistical methods.
After completing the course the student is expected to
- understand the fundamentals of the different multivariate methods,
- be able to select the appropriate method for a given data set,
- perform the analyses by means of SAS software,
- correctly interpret the results of the computer output. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| -- STAT1213-1- Elements of multivariate statistical methods |
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Planned learning activities and teaching methods :
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| Lectures
Exercises on computer |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| Syllabus. |
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Assessment methods and criteria :
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| Written examination (100%) |
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Organizational remarks :
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| Lectures : 24 h
Practical Works : 24 h |
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Contacts :
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| Palm, Rodolphe (Professeur)
Enseignement et recherche
081 62 24 79
Rodolphe.Palm@ulg.ac.be |
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