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| STAT0201-1 | Multivariate statistics | |||||
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| Duration : | 30h Th, 10h Pr | |||||
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| Holder(s) : | Adelin Albert | |||||
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| Course contents : | The theoretical course is subdivided as follows: - General introduction and some basics of matrix algebra - Random vectors and multivariate distributions - Mean vector, disperson matrix and correlation matrix - Principal component analysis and biplot - The multinormal distribution and its properties - Multiple regression and multiple correlation coefficient - Hotelling T² test for comparing two mean vectors - Discriminant analysis | |||||
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| Course objective : | The course belongs to the field of applied mathematics. It is intended to give students a general introduction to mathematical multivariate statistics and its applications in various domains of science. Multivariate statistics is concerned with the study of random vectors, ie. the analysis of data resulting from the simultaneous observation of several variables on the same subject or object. The student will gain sufficient knowledge to carry a reserach project, either theoretical or applied, in multivariate analysis. Emphasis will be placed on the potential of statistics in scientific reasoning and experimental research. | |||||
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| Prerequisites : | An introductory course in mathematical statistics. | |||||
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| Workshops : | Practicals include: - solving theoretical problems in multivariate statistics - using a statistical package like SAS or STATISTICA - statistical analysis of a multivariate dataset. Practicals will start after the second lecture. Theoretical exercises will be given by Ms Laetitia Comte (to be fixed) and practical use of packages by Ms Anne-Françoise Donneau. Since in statistics, practice is essential, students must attend the applied sessions. Exercises can be finished at home if needed. | |||||
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| Organization : | Lectures are given usually on Tuesday mornings of the second quarter from 8:30 to 12:30 am. A 15 minute break is included. The course will be taught at the blackboard and illustarting slides. | |||||
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| Written notes : | There are no lecture notes. Textbooks are: - Multivariate statistical methods. D. Morrison, Mc Graw-Hill, Auckland, 1986 - Introduction to multivariate analysis. C. Chatfield et A.J. Collins, Chapman and Hall. ed, London, 1980 | |||||
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| Assessment : | Students will have to complete a project. The exam will be done orally and include two major questions and to minor questions. It lasts about two hours. | |||||
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| Contacts : | Lecturer
Adelin ALBERT (Professeur ordinaire), Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique, CHU Sart Tilman (B35), 4000 Liège. Tél: 04-366.25.91/90 - Fax: 04-366.25.96 Email: aalbert@ulg.ac.be Secretary Mrs Anna MARCHETTA, Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique (IMBS), CHU Sart Tilman (B35), 4000 Liège. Tél: 04-366.25.90 - Fax: 04-366.25.96 Email: imbs@ulg.ac.be Assistants Laetitia COMTE (coordination) Tél: 04-366.94.60 - Email: L.Comte@ulg.ac.be Anne-Françoise DONNEAU Tél: 04-366.47.90 - Email: afdonneau@ulg.ac.be | |||||
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ULg : Students and Studies Administration - Academic Affairs
Contact : Monique Marcourt, direction A.E.E.
Date of data : 27/02/2006
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