Follow this link to get back to the main page for the data-analysis book.
1. Fundamental concepts (Roger Barlow) |
![]() PDF file with solutions for chapter 1
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2. Parameter estimation (Olaf Behnke and Lorenzo Moneta) |
![]() PDF file with solutions for chapter 2
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3. Hypothesis testing (Gregory Schott) |
![]() PDF file with solutions for chapter 3
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4. Interval estimation (Luc Demortier) |
To come soon. |
5. Classification (Helge Voss) |
![]() PDF with solutions for chapter 5
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6. Unfolding (Volker Blobel) |
![]() PDF file with solutions for chapter 6
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7. Constrained fits (Benno List) |
![]() PDF file with solutions for chapter 7
![]() Tarball for the exercises of chapter 7
![]() README file for exercise 7.1
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8. How to deal with systematic uncertainties (Rainer Wanke) |
![]() PDF file with solutions for chapter 8
![]() Tarball for the exercises of chapter 8
![]() README file for exercise 8.1
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9. Theory uncertainties (Markus Diehl) |
![]() PDF file with solutions for chapter 9
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10. Statistical methods commonly used in high energy physics (Carsten Hensel and Kevin Kröninger) |
![]() PDF file with solutions for chapter 10
![]() Tarball for the exercises of chapter 10
![]() README file for exercise 10.1
![]() README file for exercise 10.2
![]() README file for exercise 10.3
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11. Analysis walk-throughs (Aart Heijboer and Ivo van Vulpen) |
![]() PDF file with solutions for chapter 11
![]() Tarball for the exercises of chapter 11
![]() README file for exercises 11.1-3
![]() README file for exercise 11.4
![]() README file for exercise 11.5
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12. Applications in astronomy (Harrison B. Prosper) |
![]() PDF file with solutions for chapter 12
![]() Tarball for the exercises of chapter 12
![]() README file for exercise 12.1
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