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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.
Features worked problems with solutions plus homework exercises
Includes amusing, often-neglected applications
Assumes no prior knowledge of statistical techniques
Offers an introduction to neural net techniques
Request lecturer material: [...]
Chapter 1. Basic Probability Concepts.- Chapter 2. Some Initial Definitions.- Chapter 3. Some Results Independent of Specific Distributions.- Chapter 4. Discrete Distributions and Combinatorials.- Chapter 5. Specific Discrete Distributions.- Chapter 6. The Normal (or Gaussian) Distribution and Other Continuous Distributions.- Chapter 7. Generating Functions and Characteristic Functions.- Chapter 8. The Monte Carlo Method: Computer Simulation of Experiments.- Chapter 9. Queueing Theory and Other Probability Questions.- Chapter 10. Two-Dimensional and Multidimensional Distributions.- Chapter 11. The Central Limit Theorem.- Chapter 12. Choosing Hypotheses and Estimating Parameters from Experimental Data.- Chapter 13. Methods of Least Squares (Regression Analysis).- Chapter 14. Inverse Probability; Confidence Limits.- Chapter 15. Curve Fitting.- Chapter 16. Fitting Data with Correlations and Constraints.- Chapter 17. Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment.- Chapter 18. Interpolating Functions and Unfolding Problems.- Chapter 19. Beyond Maximum Likelihood and Least Squares; Robust Methods.- Chapter 20. Characterization of Events.- Appendix.- Index.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Theoretische Physik |
| Genre: | Physik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 300 |
| Reihe: | Undergraduate Texts in Physics |
| Inhalt: |
xiii
285 S. 49 s/w Illustr. 5 farbige Illustr. 285 p. 54 illus. 5 illus. in color. |
| ISBN-13: | 9783030536930 |
| ISBN-10: | 3030536939 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Roe, Byron P. |
| Auflage: | 3rd ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Undergraduate Texts in Physics |
| Maße: | 235 x 155 x 17 mm |
| Von/Mit: | Byron P. Roe |
| Erscheinungsdatum: | 27.09.2020 |
| Gewicht: | 0,458 kg |
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.
Features worked problems with solutions plus homework exercises
Includes amusing, often-neglected applications
Assumes no prior knowledge of statistical techniques
Offers an introduction to neural net techniques
Request lecturer material: [...]
Chapter 1. Basic Probability Concepts.- Chapter 2. Some Initial Definitions.- Chapter 3. Some Results Independent of Specific Distributions.- Chapter 4. Discrete Distributions and Combinatorials.- Chapter 5. Specific Discrete Distributions.- Chapter 6. The Normal (or Gaussian) Distribution and Other Continuous Distributions.- Chapter 7. Generating Functions and Characteristic Functions.- Chapter 8. The Monte Carlo Method: Computer Simulation of Experiments.- Chapter 9. Queueing Theory and Other Probability Questions.- Chapter 10. Two-Dimensional and Multidimensional Distributions.- Chapter 11. The Central Limit Theorem.- Chapter 12. Choosing Hypotheses and Estimating Parameters from Experimental Data.- Chapter 13. Methods of Least Squares (Regression Analysis).- Chapter 14. Inverse Probability; Confidence Limits.- Chapter 15. Curve Fitting.- Chapter 16. Fitting Data with Correlations and Constraints.- Chapter 17. Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment.- Chapter 18. Interpolating Functions and Unfolding Problems.- Chapter 19. Beyond Maximum Likelihood and Least Squares; Robust Methods.- Chapter 20. Characterization of Events.- Appendix.- Index.
| Erscheinungsjahr: | 2020 |
|---|---|
| Fachbereich: | Theoretische Physik |
| Genre: | Physik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 300 |
| Reihe: | Undergraduate Texts in Physics |
| Inhalt: |
xiii
285 S. 49 s/w Illustr. 5 farbige Illustr. 285 p. 54 illus. 5 illus. in color. |
| ISBN-13: | 9783030536930 |
| ISBN-10: | 3030536939 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Roe, Byron P. |
| Auflage: | 3rd ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Undergraduate Texts in Physics |
| Maße: | 235 x 155 x 17 mm |
| Von/Mit: | Byron P. Roe |
| Erscheinungsdatum: | 27.09.2020 |
| Gewicht: | 0,458 kg |
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