Statistical Methods for Data Analysis in Particle Physics
Published on 24. July 2015
XIX, 172 pages
978-3-319-20176-4 (ISBN)
Description
This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data.
Reviews / Votes
"This book is an excellent introduction to statistical methods for data analysis in general, not only in particle physics. . The contents are well structured, concise and easily understandable. Particular effort was made in illustrating distinct characters of frequency and Bayesian approaches. . I highly recommend this book to anyone who is interested in pursuing data analysis in all fields." (Zhen Mei, zbMATH 1333.81007, 2016)
More details
Series
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Primary & secondary/elementary & high school
Product notice
Reflowable
Illustrations
XIX, 172 p. 63 illus., 59 illus. in color.
File size
4,24 MB
ISBN-13
978-3-319-20176-4 (9783319201764)
DOI
10.1007/978-3-319-20176-4
Schweitzer Classification
Other editions
New editions
E-Book
10/2017
2nd Edition
Springer
€85.59
Available for download
Additional editions
Book
08/2015
Springer
€37.44
Article exhausted; check for reprint
Content
Preface.- Probability theory.- Probability Distribution Functions.- Bayesian approach to probability.- Random numbers and Monte Carlo Methods.- Parameter estimate.- Confidence intervals.- Hypothesis tests.- Upper Limits.- Bibliography.
