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Instructors: Univ.-Prof. Dr. Lucia Masetti
Event type:
Lecture/practice class
Displayed in timetable as:
08.128.730
Hours per week:
4
Credits:
6,0
Language of instruction:
Englisch
Min. | Max. participants:
- | -
Requirements / organisational issues:
Knowledge at the level of the B.Sc. module experimental physics 4, Scales and Structures of Matter.
The time and place of the exercises will be decided during the first lecture.
Contents:
- Probability, distributions, special discrete distributions, special probability densities, theorems, sampling, multidimensional distributions, covariance matrix.
- Statistical and systematic uncertainties, error propagation
- Monte Carlo methods: random number generators, Monte Carlo integration
- Estimation of parameters: maximum likelihood method, error of parameters
- Method of least squares
- Hypothesis testing
- Unfolding
- Confidence intervals
- Multivariate methods: neural networks, boosted decision trees, etc.
Recommended reading list:
- R.J. Barlow: Statistics, Wiley (1999)
- G. Cowan: Statistical Data Analysis, Oxford Science Publications (2002)
- G. Bohm, G. Zech: Introduction to Statistics and Data Analysis for Physicists, Verlag Deutsches Elektronen-Synchrotron (publicly available online)
- O. Behnke et al.: Data Analysis in High Energy Physics, Wiley-VCH (2013)
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