Probability and Statistics in Experimental Physics

From the contents:
- Preface
- Basic Probability Concepts
- Some Initial Definitions
- Some Results of Specific Distributions
- Discrete Distributions and Combinatorials
- Specific Discrete Distributions
- The Normal (or Gaussian) Distribution and Other Continuous Distributions
- Generating Functions and Characteristic Functions
- The Monte Carlo Method: Computer Simulation of Experiments
- Queueing Theory and Other Probability Questions
- Two Dimensional and Multi-Dimensional Distributions
- The Central Limit Theorem
- Inverse Probability; Confidence Limits
- Methods for Estimating Parameters. Least Squares and Maximum Likelihood
- Curve Fitting
- Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment
- Interpolating Functions and Unfolding Problems
- Fitting Data with Correlations and Constraints
- Beyond Maximum Likelihood and Least Squares; Robust Methods
- References