After successful completion of the course, students are able to understand the mathematical foundations of statistical inference, work with basic statistical models and tests, analyse their features and assess their performance. They are also able to apply their theoretical knowledge in a variety of applications.
The schedule of the course is provisional and will be agreed with the students in the first week. If the provisional schedule does not work for you, please drop an email to the lecturer before the start of the semester and indicate your preference.
Written exam. Additional points may be awarded for class participation.
The first exam will take place at the end of the winter semester, on a date to be agreed with attending students. If you wish to take the exam in a subsequent date, please get in touch directly with the lecturer and another exam will be scheduled.
Bickel, P.J., & Doksum, K.A. (2015). Mathematical Statistics: Basic Ideas and Selected Topics, Second Edition. Chapman and Hall/CRC.
Shao, J. (2003). Mathematical Statistics, Second Edition. Springer-Verlag.
