University of Liege | Version française
Study programmes 2009-2010Last update : 28/06/2010
STAT1213-1  Elements of multivariate statistical methods
Duration :  12h Th, 12h Pr
Credits/ECTS :  
Advanced Master in Rural Economics and SociologyPremier quadrimestre2
Master in Agricultural Bioengineering, Professional Focus, 1st yearPremier quadrimestre2
Master in Chemistry and Bio-industries, Professional Focus, 2nd yearPremier quadrimestre2
Master in Environmental Bioengineering, Professional Focus, 1st yearPremier quadrimestre2
Master in Forests and Natural Areas, Professional Focus, 1st yearPremier quadrimestre2
Master in statistics : biostatistics, professional focus , 1st yearPremier quadrimestre2
Holder(s) :  Rodolphe Palm
Language :  Langue française
Course contents :  Principal component analysis
- aim
- principle
- case studies
Cluster analysis
- aim
- principle
- case studies
Discriminant analysis
- aim
- principle
- case studies
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.
Prerequisites :  -- INFO2037-1- Introduction to computer science
-- STAT1207-1- Applied statistics
-- SI315P - Office automation
Organization :  Lectures : 12h
Practical Works : 12h
Written notes :  Syllabus.
Assessment :  Written examination (100%)
Contacts :  Palm, Rodolphe (Professeur)
Enseignement et recherche
081 62 24 79
palm.r@fsagx.ac.be


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