|Being able to deal with general statistical methods and quality notions and being able to use specific, important statistical procedures.|
Recommended PrerequisitesProbability and Statistics, Mathematical Analysis 1, Mathematical Analysis 2
In this course we focus on statistical principles and quality concepts. Using these principles and notions and the corresponding properties in various models is the ultimate goal. Moreover we specialize the procedures to certain important, specific models. Important notions are: sufficiency and completeness, estimation and testing, optimality of statistical procedures, asymptotics and optimality, confidence intervals, contingency tables and some topics from nonparametric statistics.
Type of instructions
2 lecture hours per week, 2 hours tutorial per week and 2 x 2 hours computer practicals (in total)
Type of exams
- L.J. Bain & M. Engelhardt, Introduction to probability and mathematical statistics, Duxbury, 2nd edition (1992).
- Slides "nonparametric statistics".