 |  | |  |
| STAT0067-1

 | Probability and statistical inference

| |
| 
| |
| Duration : | 60h Th, 15h Pr | |
|  | | |
| Credits/ECTS : |
| |
|  | | |
| Holder(s) : | Louis Esch | |
|  | | |
|  | | |
| Course contents :
| 1st part : Probability Theory
- Basic notions (random situation and probability) - Conditioning and probability trees - Independance and Bernoulli model - Random variable and probability distribution - Typical parameters and moments of r.v. - Inequalities - Couples of r.v. - Theoretical distributions (discrete laws, continuous laws and limit theorems) - Applications (life probabilities, decision trees and Markov chains)
2nd part : Statistical inference
- Object, variables and observations - Population and sample - Point estimation (estimators : properties and construction) - Confidence interval (sampling distribution, C.I., population parameters, sample size, regression and forecasting) - Statistical tests (principle and power, population parameters, goodness-of-fit, independence, tests about regression, nonparametrical tests) | |
|  | | |
| Course objective :
| - Allow to understand probability calculus and to modelize random situations - Provide probabilistic basics useful for statistical inference, operational research and financial and actuarial applications) - Allow to use principles and basic methods of statistical inference (estimation and tests) | |
|  | | |
| Prerequisites :
| - Descriptive statistics - Elements of differential and integral calculus | |
|  | | |
| Organization :
| - Ex-cathedra lectures (theory) - Exercises with groups | |
|  | | |
| Written notes :
| Copy of slides
Reference books
- ROSS S.M., Initiation à la théorie des probabilités, Presses polytechniques romandes - DROESBEKE J.J., Eléments de statistique, Ellipses | |
|  | | |
| Assessment :
| Written examination in january, 1st and 2nd sessions | |
|  | | |
| Contacts :
| Louis Esch HEC-Ecole de gestion de l'Université de Liège (bâtiment N1) Tél. : 04/232.73.00 e-mail : louis.esch@ulg.ac.be | |
|  | | |