Overview

Full Product Details

Author:   Byron P. Roe
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   3rd ed. 2020
Weight:   0.462kg
ISBN:  

9783030536930

ISBN 10:   3030536939
Pages:   285
Publication Date:   27 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Front Matter Pages i-xi 2. Basic Probability Concepts 3. Some Initial Definitions 4. Some Results Independent of Specific Distributions 5. Discrete Distributions and Combinatorials 6. Specific Discrete Distributions 7. The Normal (or Gaussian) Distribution and Other Continuous Distributions 8. Generating Functions and Characteristic Functions 9. The Monte Carlo Method: Computer Simulation of Experiments 10. Queueing Theory and Other Probability Questions 11. Two-Dimensional and Multidimensional Distributions 12. The Central Limit Theorem 13. Inverse Probability; Confidence Limits 14. Methods for Estimating Parameters. Least Squares and Maximum Likelihood 15. Curve Fitting 16. Bartlett S Function; Estimating Likelihood Ratios Needed for an Experiment 17. Interpolating Functions and Unfolding Problems 18. Fitting Data with Correlations and Constraints 19. Beyond Maximum Likelihood and Least Squares; Robust Methods 20. Back Matter

Reviews

The depth and the manner in which the material is treated will make it easy for the students to transition to more advanced topics such as deep learning, machine learning and artificial intelligence after perusing the book. ... Roe's book is a wonderful, forward looking introduction to probability and statistics and its applications. Hence, I have no hesitations whatsoever in recommending the book - both to the students and instructors. (Mogadalai P Gururajan, Contemporary Physics, August 19, 2021)

“The depth and the manner in which the material is treated will make it easy for the students to transition to more advanced topics such as deep learning, machine learning and artificial intelligence after perusing the book. … Roe’s book is a wonderful, forward looking introduction to probability and statistics and its applications. Hence, I have no hesitations whatsoever in recommending the book – both to the students and instructors.” (Mogadalai P Gururajan, Contemporary Physics, August 19, 2021)

Author Information

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.

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