
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 (2022W2023S) TMAPBVOSTAT: VO Statistical methods (2003W2022S)

