Loss Models: From Data to Decisions, Book + Solutions Manual Set (Hardcover, 5)

1. Modeling

2. Random variables

3. Basic distributional quantities

4. Characteristics of actuarial models

5. Continuous models

6. Discrete distributions

7. Advanced discrete distributions

8. Frequency and severity with coverage modifications

9. Aggregate loss models

10. Introduction to mathematical statistics

11. Maximum likelihood estimation

12. Frequentist estimation for discrete distributions

13. Bayesian estimation

14. Construction of empirical models

15. Model selection

16. Introduction to limited fluctuation credibility

17. Greatest accuracy credibility

18. Empirical bayes parameter estimation

19. Simulation