Statistical computing [ LSTAT2020 ]
6.0 crédits ECTS
20.0 h + 20.0 h
1q
| Teacher(s) |
Bugli Céline ;
|
| Language |
French
|
Place
of the course |
Louvain-la-Neuve
|
| Main themes |
Main themes:
Part (A):
- Steps of a statistical data analysis with a statistical software
- Classes of statistical software
- Statistical graphics: main classes of graphics and efficient use - Basic statistical analysis with "point and click" statistical software.
Part (B):
- Random numbers generation, calculation of probabilities and quantiles for most common statistical distributions.
- Algorithms to estimate linear and non linear models and associated numerical problems.
- Maximum likelihood estimation.
- Introduction to resampling methods
- Programming in the S language under the S-Plus or R environment.
- Programming in SAS (Use of SAS/BASE, SAS/STAT and SAS/Graph).
|
| Aims |
At the end of this course, the students will have gain a critical view of the different classes of statistical software available on the market and basic culture on statistical algorithms and graphics. They will also be able to realise basic statistical analysis with different software (SAS, S-Plus, R, Excel, SPSS...) and write programs in the S and SAS programming languages.
This course is organised in two parts:
Part (A): basics of statistical computing and case studies.
Part (B): statistical algorithms and SAS and R Software
|
| Content |
Part (A):
- Steps of a statistical data analysis with a statistical software
- Classes of statistical software
- Statistical graphics: main classes of graphics and efficient use - Basic statistical analysis with "point and click" statistical software.
Part (B):
- Random numbers generation, calculation of probabilities and quantiles for most common statistical distributions.
- Algorithms to estimate linear and non linear models and associated numerical problems.
- Maximum likelihood estimation.
- Introduction to resampling methods
- Programming in the S language under the S-Plus or R environment.
- Programming in SAS (Use of SAS/BASE, SAS/STAT and SAS/Graph).
|
| Other information |
Prerequisites
Basic course in statistics and capability to work on a personnel computer.
Teaching materials
See web site : www.stat.ucl.ac.be/cours/stat2430
For more information:
http://www.stat.ucl.ac.be/cours/stat2430/index.html
|
Cycle et année
d'étude |
> Master [120] in Statistics: General
> Master [120] in Statistics: Biostatistics
> Master [120] in Business engineering
> Master [120] in Agricultural Bioengineering
> Master [120] in Environmental Bioengineering
> Master [120] in Forests and Natural Areas Engineering
> Master [120] in Chemistry and Bio-industries
> Master [120] in Mathematics
> Master [120] in Computer Science
> Master [120] in Computer Science and Engineering
> Master [120] in Mathematical Engineering
> Certificat universitaire en statistique
|
Faculty or entity
in charge |
> LSBA
|
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