Probability and Statistics in Experimental Physics

Table of Contents

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   Book Overview
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   Chapter 1 Basic Probability Concepts
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   Chapter 2 Some Initial Definitions
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   Chapter 3 Some Results Independent of Specific Distributions
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   Chapter 4 Discrete Distributions and Combinatorials
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   Chapter 5 Specific Discrete Distributions
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   Chapter 6 The Normal (or Gaussian) Distribution and Other Continuous Distributions
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   Chapter 7 Generating Functions and Characteristic Functions
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   Chapter 8 The Monte Carlo Method: Computer Simulation of Experiments
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    Chapter 9 Queueing Theory and Other Probability Questions
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    Chapter 10 Two-Dimensional and Multidimensional Distributions
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    Chapter 11 The Central Limit Theorem
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    Chapter 12 Inverse Probability; Confidence Limits
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    Chapter 13 Methods for Estimating Parameters. Least Squares and Maximum Likelihood
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    Chapter 14 Curve Fitting
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    Chapter 15 Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment
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    Chapter 16 Interpolating Functions and Unfolding Problems
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    Chapter 17 Fitting Data with Correlations and Constraints
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    Chapter 18 Beyond Maximum Likelihood and Least Squares; Robust Methods