University of Liege | Version française
Study programmes 2010-2011Last update : 11/04/2011
STAT1213-1  Elements of multivariate statistical methods
Duration :  12h Th, 12h Pr
Credits/ECTS :  
Advanced Master in Rural Economics and SociologyFirst semester2
Master in Chemistry and Bio-industries, Professional Focus, 2nd yearFirst semester2
Master in Environmental Bioengineering, Professional Focus, 1st yearFirst semester2
Master in Forests and natural Areas Engineering, Professional Focus, 1st yearFirst semester2
Master in Statistics : Biostatistics, professional focus , 1st yearFirst semester2
Holder(s) :  Rodolphe Palm
Language :  French language
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 :  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
Organization :  Lectures : 12h
Practical Works : 12h
Written notes :  Syllabus.
Assessment :  Written examination (100%)
Contacts :  Palm, Rodolphe (Professeur)
Enseignement et recherche
081 62 24 79
Rodolphe.Palm@ulg.ac.be


imageHome
imageSearch by Faculty
imageSearch by teacher
imageSearch by course code and title

Students and Studies Administration - Academic Affairs - Contact : Monique Marcourt, General Director for Education and Training - Developed by SEGI