Behnke O., Kröninger K., Gregory Schott, Schörner-Sadenius T. Data Analysis in High Energy Physics: A Practical Guide to Statistical Methods

Wiley-VCH, 2013. — 430 p. — ISBN: 3527410589.This practical guide covers the essential tasks in statistical data analysis encountered in high energy physics and provides comprehensive advice for typical questions and problems. The basic methods for inferring results from data are presented as well as tools for advanced tasks such as improving the signal-to-background ratio, correcting detector effects, determining systematics and many others. Concrete applications are discussed in analysis walkthroughs. Each chapter is supplemented by numerous examples and exercises and by a list of literature and relevant links. The book targets a broad readership at all career levels - from students to senior researchers. An accompanying website provides more algorithms as well as up-to-date information and links.Fundamental Concepts
Parameter Estimation
Hypothesis Testing
Interval Estimation
Classification
Unfolding
Constrained Fits
How to Deal with Systematic Uncertainties
Theory Uncertainties
Statistical Methods Commonly Used in High Energy Physics
Analysis Walk-Throughs
Applications in Astronomy