# Statistical Methods for Data Analysis in Particle Physics

Part of the Lecture Notes in Physics book series (LNP, volume 909)

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Part of the Lecture Notes in Physics book series (LNP, volume 909)

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.

Bayesian Versus Frequentist Probability Theory Data Analysis in High Energy Physics Data Analysis in High Energy Physics Experimental Particle Physics and Data Anaylsis Hypothesis Testing and Discovery-based Science Modified Frequentist Approach Parameter Estimation and Uncertainties Statistics Textbook for Particle Physics

- DOI https://doi.org/10.1007/978-3-319-20176-4
- Copyright Information Springer International Publishing Switzerland 2016
- Publisher Name Springer, Cham
- eBook Packages Physics and Astronomy
- Print ISBN 978-3-319-20175-7
- Online ISBN 978-3-319-20176-4
- Series Print ISSN 0075-8450
- Series Online ISSN 1616-6361
- Buy this book on publisher's site