Overview
- 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
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Part of the book series: Undergraduate Texts in Physics (UNTEPH)
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Table of contents (20 chapters)
Keywords
- Statistical issues in experimental physics
- Experimental particle physics
- Experimental neutrino physics
- Statistical issues for experimental scientists
- Generating functions
- Characteristic functions
- Monte Carlo method
- Queuing theory
- Central limit theorem
- Bayes theorem
- Estimation of likelihood ratios
- Unfolding problems
- Neural net techniques
- data-driven science, modeling and theory building
About this book
This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes’ theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems.
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Authors and Affiliations
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.
Bibliographic Information
Book Title: Probability and Statistics in the Physical Sciences
Authors: Byron P. Roe
Series Title: Undergraduate Texts in Physics
DOI: https://doi.org/10.1007/978-3-030-53694-7
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-53693-0Published: 27 September 2020
eBook ISBN: 978-3-030-53694-7Published: 26 September 2020
Series ISSN: 2510-411X
Series E-ISSN: 2510-4128
Edition Number: 3
Number of Pages: XIII, 285
Number of Illustrations: 49 b/w illustrations, 5 illustrations in colour
Topics: Mathematical Methods in Physics, Particle and Nuclear Physics, Astronomy, Astrophysics and Cosmology, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Data-driven Science, Modeling and Theory Building