Description
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
