[ 404MMMCSTMV23 ] VL Statistical Methods

Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Mathematics Evelyn Buckwar 2 hpw Johannes Kepler University Linz
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.
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 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.
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)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment