Probability and Statistics in Experimental Physics
This book is meant to be a practical introduction into the use of probability and statistics in experimental physics for advanced undergraduate students and for graduate students. I have attempted to write a short book. It is not intended as a comprehensive text in probability and statistics. I have...
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
1992, 1992
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Edition: | 1st ed. 1992 |
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Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1. Basic Probability Concepts
- 2. Some Initial Definitions
- 3. Some Results Independent of Specific Distributions
- 4. Discrete Distributions and Combinatorials
- 5. Specific Discrete Distributions
- 6. The Normal (or Gaussian) Distribution and Other Continuous Distributions
- 7. Generating Functions and Characteristic Functions
- 8. The Monte Carlo Method: Computer Simulation of Experiments
- 9. Two Dimensional and Multi-Dimensional Distributions
- 10. The Central Limit Theorem
- 11. Inverse Probability; Confidence Limits
- 12. Methods for Estimating Parameters. Least Squares and Maximum Likelihood
- 13. Curve Fitting
- 14. Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment
- 15. Interpolating Functions and Unfolding Problems
- 16. Fitting Data with Correlations and Constraints
- 17. Beyond Maximum Likelihood and Least Squares; Robust Methods
- References