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| STAT1213-1 | Elements of multivariate statistical methods
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| Duration : | 12h Th, 12h Pr |
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| Credits/ECTS : |
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| Holder(s) : | Rodolphe Palm |
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| Language : | French language |
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| Course contents : | Principal component analysis - aim - principle - case studies Cluster analysis - aim - principle - case studies Discriminant analysis - aim - principle - case studies |
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| Course objective : | To learn how to use and how to read software outputs for some mutivariate statistical methods. After completing the course the student is expected to - identify the cases that should be analysed by principal component analysis, cluster analysis and classification, - perform these analyses by means of SAS software, - correctly interpret the results of the computer output. |
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| Prerequisites : | Basic skills in applied statistics, for example : -- STAT1207-1- Applied statistics Basic skills in computer science, for example : -- HULG0149-1- Office automation or -- INFO2037-1- Introduction to computer science |
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| Organization : | Lectures : 12h Practical Works : 12h |
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| Written notes : | Syllabus. |
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| Assessment : | Written examination (100%) |
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| Contacts : | Palm, Rodolphe (Professeur) Enseignement et recherche 081 62 24 79
Rodolphe.Palm@ulg.ac.be |
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