Detailinformationen |
Quellcurriculum |
Masterstudium Mathematik in den Naturwissenschaften (auslaufend mit 28.2.2026) 2022W |
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 |
English |
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 |
Sonstige Informationen |
(*)Until term 2022S known as: TMAPBVOSTAT VL Statistical methods
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Frühere Varianten |
Decken ebenfalls die Anforderungen des Curriculums ab (von - bis) TMAPBVOSTAT: VO Statistische Methoden (2003W-2022S)
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