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
About the Author: Byron P. Roe is Professor Emeritus of Physics at the University of Michigan. He is a specialist in Experimental Nuclear and Subatomic Physics and Experimental Elementary Particle Physics. Professor Roe worked on an extensive number of experiments at Fermilab, CERN, and Argonne for more than 50 years and was often the spokesperson or co-spokesperson for these experiments. He has worked with the MiniBooNE neutrino experiment for almost 20 years. He is a Fellow of the American Physical Society.
