Duration
30h Th, 10h Pr, 20h Mon. WS
Number of credits
| Master in mathematics (120 ECTS) | 8 crédits | |||
| Master in mathematics (60 ECTS) | 8 crédits |
Lecturer
N...
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course concerns linear models : multiple linear regression, ANOVA, and an introduction to some extensions.
Learning outcomes of the learning unit
The course includes the following chapters:
Multiple linear regression
- Model description
- Statistical properties of the estimators
- Inference and prediction
- Validation and adaptation of the model
- Variables selection
- Extensions
ANOVA
- Anova I
- Anova II
- Extensions
Prerequisite knowledge and skills
Courses of Statistics and Probability and Algebra included in the program of Bachelor in Mathematics. Use of a statistical software.
Planned learning activities and teaching methods
The course is organised as a set of lectures, as well as some practical work in the computer room (use of statistical softwares). It also includes a project.
Mode of delivery (face-to-face ; distance-learning)
The course is organized face-to-face. Il also includes a project.
Recommended or required readings
Reference (non mandatory) : Neter, J., Kutner, M.H., Nachtsheim, C.J. et Wasserman, W. (1996), Applied linear statistical models. McGraw-Hill, Boston.
The course is mainly given at the blackboard. Additionnal material will be provided via myULg.
Assessment methods and criteria
- A project of data analysis, including a report and an oral presentation
- An examination, during the assesment period, which includes the use of statistical software
Work placement(s)
Organizational remarks
The course is organized face-to-face, with mathematical details given at the blackboard. Il also includes a project.
The course is only given on even academic years (2018-2019 is the next year).