1. Front Matter

Pages i-xi

2. Basic Probability Concepts

3. Some Initial Definitions

4. Some Results Independent of Specific Distributions

5. Discrete Distributions and Combinatorials

6. Specific Discrete Distributions

7. The Normal (or Gaussian) Distribution and Other Continuous Distributions

8. Generating Functions and Characteristic Functions

9. The Monte Carlo Method: Computer Simulation of Experiments

10. Queueing Theory and Other Probability Questions

11. Two-Dimensional and Multidimensional Distributions

12. The Central Limit Theorem

13. Inverse Probability; Confidence Limits

14. Methods for Estimating Parameters. Least Squares and Maximum Likelihood

15. Curve Fitting

16. Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment

17. Interpolating Functions and Unfolding Problems

18. Fitting Data with Correlations and Constraints

19. Beyond Maximum Likelihood and Least Squares; Robust Methods

20. Back Matter