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| Detailed information |
| Original study plan |
Master's programme Computational Mathematics 2023W |
| Objectives |
At the end of the course, students will have a theoretical understanding of the main concepts and fundamental methods for statistical inference.
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| Subject |
Statistical models, statistics and related theorems, point estimators, interval estimators, hypothesis testing, statistical inference for stochastic processes.
|
| Criteria for evaluation |
Oral exam
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| Methods |
Blackboard presentation, supported by lecture slides.
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| Language |
German |
| Study material |
- Statistical Inference, G. Casella and R. L. Berger
- Introduction to the theory of Statistical Inference, H. Liero and S. Zwanzig
- Introductory Statistics, S. M. Ross
- Introduction to Probability and Statistics for Engineers and Scientists, S. M. Ross.
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
402STMESTMV22: VO Statistical Methods (2022W-2023S)
TMAPBVOSTAT: VO Statistical methods (2003W-2022S)
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