Probability Theory (Hardcover)

Part 1. Random and Formalism

1. Lebesgue integral of real functions

2. Notion of random experience

3. Elementary discrete probabilistic models

4. Non-elementary discrete probabilistic models

5. Probabilisables spaces and probabilistic

Part 2. Probabilistic space and random variables

6. Real random variables

7. Real discrete random variables and absolutely continuous

8. Couple of real expenditures random variables

9. Esperance of random variables

10. Variance and standard deviation

11. Transfer theorem, moments and characteristic function

12. Examples of laws

13. Independence and decorrelation

14. conditioning

15. random vectors

Part 3. Conditioning and Independence

Appendices