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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computational Mathematics 2024W |
| Ziele |
(*)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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| Lehrinhalte |
(*)Statistical models, statistics and related theorems, point estimators, interval estimators, hypothesis testing, statistical inference for stochastic processes.
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| Beurteilungskriterien |
(*)Oral exam
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| Lehrmethoden |
(*)Blackboard presentation, supported by lecture slides.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)- 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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| Lehrinhalte wechselnd? |
Nein |
| Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis)
402STMESTMV22: VO Statistical Methods (2022W-2023S)
TMAPBVOSTAT: VO Statistische Methoden (2003W-2022S)
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