University of Liege | Version française
	Study programmes 2009-2010 Last update : 28/06/2010
	STAT1217-1   Complements of multivariate analysis Duration :   24h Pr, 24h Th Credits/ECTS :   Advanced Master in Rural Economics and Sociology Deuxième quadrimestre 4 Master in statistics : biostatistics, professional focus , 1st year Deuxième quadrimestre 4 Holder(s) :   N... Substitute(s) :   Rodolphe Palm Language :   Langue française Course contents :   Principal component analysis Correspondance analysis (simple and multiple) Multidimensionnel scaling Manova Canonical discriminant analysis Mahalanobis distance and applications Canonical correlation Course objective :   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. Prerequisites :   -- INFO2037-1- Introduction to computer science -- STAT1213-1- Elements of multivariate statistical methods -- SI315P - Office automation Organization :   Lectures : 24h Practical Works : 24h Written notes :   Syllabus. Assessment :   Written examination (100%) Contacts :   Palm, Rodolphe (Professeur) Enseignement et recherche 081 62 24 79 palm.r@fsagx.ac.be Home Search by Faculty Search by teacher Search by course code and title
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