Data Analysis in High Energy Physics : a Practical Guide to Statistical Methods.
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...
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| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
Hoboken :
Wiley,
2013.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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 br. |
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| Item Description: | 5 Classification. |
| Physical Description: | 1 online resource (441 pages) |
| Bibliography: | Includes bibliographical references at the end of each chapters and index. |
| ISBN: | 9783527653447 3527653449 9783527653430 3527653430 3527653414 9783527653416 |