Statistique 2
- Code : N8EN07B
In brief
Objectives
In this course, the basic regression model is introduced along with its applications and extensions (generalized linear models especially logistic regression). Linear models provide an indispensable basis for later approaches to more modern methods used in big data. Algorithms will be used in practical works with R to automatically select predictors and a procedure to evaluate the models will be detailled.
Bibliography
Régression avec R, Cornillon & Matzner-Lober, Springer
An R companion to applied regression, Fox & Weisberg, Sage
Session 1 ou session unique - Contrôle des connaissances
| Modalité | Nature | Coefficient | Remarques |
|---|---|---|---|
| CT (contrôle terminal) | Oral/Ecrit | 50% | Examen Statistique 2 |
| CC (contrôle continu) | Travaux Pratiques | 50% | TP-Stattistique 2 |
Session 2 - Contrôle des connaissances
| Modalité | Nature | Coefficient | Remarques |
|---|---|---|---|
| CT (contrôle terminal) | Oral/Ecrit | 50% | Examen Statistique 2 |
| CC (contrôle continu) | Travaux Pratiques | 50% | TP-Stattistique 2 |
