![](https://studienhandbuch.jku.at/pics/pixel.gif) |
Detailed information |
Original study plan |
Master's programme Computational Mathematics 2024W |
Objectives |
At the end of the course, students will have a theoretical understanding of the main concepts and fundamental methods for statistical inference.
|
Subject |
Statistical models, statistics and related theorems, point estimators, interval estimators, hypothesis testing, statistical inference for stochastic processes.
|
Criteria for evaluation |
Oral exam
|
Methods |
Blackboard presentation, supported by lecture slides.
|
Language |
English |
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.
|
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)
|
|