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Abstract
The most important methods of data anlysis are treated in the lecture. In particular, examples from particle physics will be used.The following subjects will be dealt with:Distribution functions, Monte-Carlo methods, the maximum-likelihood method, the method of least squares, the method of moments, statistical tests, parametrisation of data and unfolding.
Content
Die Theorie der Statistik ist eine wichtige Basis, um experimentelle Daten zu interpretieren. In dieser Vorlesung lernen wir, wie man statistische Methoden in einer wirklichen Datenanalyse verwendet. Es werden viele Beispiele besprochen, einschliesslich der 'Fit' Methode mit und ohne Nebenbedingungen, der Monte Carlo Methode und des Hypothesentests.
Resources
Lecture Notes
The lecture notes from WS 2005/06 can be found at: freuden.home.cern.ch/freuden/Vorlesung-Spinoffs.htmlAt the end of the lectures a printed version will be distributed.
General Information
- Language
- German
- Levels
- DS
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 20 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Statistische Methoden der Datenanalyse mit praktischen Anwendungen
Does not take place this semester.
|
No time listed | 2 h weekly |
| exercise |
Statistische Methoden der Datenanalyse mit praktischen Anwendungen
Does not take place this semester.
|
|
1 h weekly |
Offered In
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Mathematics, Computational Science and Engineering (Mathematics, Physics Those who want to register for elective courses in the diploma degree programme im Mathematics, should select these from the range of courses of the Master programme in Mathematics. Those who want to register for core subject and elective courses in the diploma degree programme in Physics, should select these from the range of courses of the Master programme in Physics (Core Courses: Theoretical Physics, Core Courses: Experimental Physics, Electives: Physics and Mathematics). The same holds for seminars and semester projects and papers.)
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