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 classes will last two hours and will take place once every two weeks.
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.
Students will be required to work out problems at home and present them during the class. They will be evaluated based on how many problems they managed to solve and, more importantly, on the quality of their presentations.
Bickel, P.J., & Doksum, K.A. (2015). Mathematical Statistics: Basic Ideas and Selected Topics, Second Edition. Chapman and Hall/CRC.
