Plans expérimentaux: cours et exercices [ LSTAT2320A ]
3.0 crédits ECTS
22.5 h + 5.5 h
2q
| Teacher(s) |
Govaerts Bernadette ;
Bogaert Patrick ;
|
| Language |
French
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
- Experimental cycle and strategies
- Linear regression as a tool to analyse the results of a designed experiment
- Problem formalisation and qualities of an experimental design
- Factorial designs and derivatives
- Designs for the estimation of response surfaces
- Optimal designs
- Experimental design as viewed by Taguchi
- Designs for mixture experiments
- Simultaneous optimisation of several responses
- Simplex and EVOP methodology to optimise one response
The course includes 2 parts. Part A of the course can be followed independently of the part B:
- Partim A: theory and exercises.
- Partim B: project of application.
|
| Aims |
At the end of the course, the student will be awared of the interest of using a methodology to design experiments that provides a maximum information at the lower cost. He will gain knowledge on different possible classes of experimental designs and on the statistical methods available to analyse experiment results.
Part a of the course can be followed independently of part B.
|
| Content |
The themes discussed in this course are :
- Experimental cycle and strategies
- Linear regression as a tool to analyse the results of a designed experiment
- Problem formalisation and qualities of an experimental design
- Factorial designs and derivatives
- Designs for the estimation of response surfaces
- Optimal designs
- Experimental design as viewed by Taguchi
- Designs for mixture experiments
- Simultaneous optimisation of several responses
- Simplex and EVOP methodology to optimise one response
Each course subject is presented on a case study.
|
| Other information |
Prerequistes
Basis courses in statistics. Course in linear models.
Evaluation:
For all: written test on the course content and practical work.
For those who follow the partim B: elaboration of a personal applied (in groups of 1 or 2) with oral discussion of work.
Reference :
Box G. et Draper N. et H. Smith [1987], Empirical Model-Building and Response Surfaces, Wiley, New York
Khuri A. et Cornell J., [1987], Response surfaces: designs and analyses, Marcel Dekker.
Myers R.H., Douglas C. Montgomery [1995], Response Surface Methodology: Process and Product Optimization Using Designed Experiments. Wiley
|
Cycle et année
d'étude |
> Master [120] in Agricultural Bioengineering
|
Faculty or entity
in charge |
> LSBA
|
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