Description:

Advanced methods of mathematical statistics, notions of probability, discrete and continuous random variables, multidimensional distributions and estimates of distribution parameters. Multidimensional regression and submodel testing. Different types of continuous distributions. Multidimensional distribution. Time series, especially stationary time series and their study in time and frequency domain.

Recommended literature:

!Wasserman L.: All of Statistics. Springer, 2005. ISBN 0-387-40272-1
!Papoulis, A. - Pillai, S.U.: Probability, Random Variables and Stochastic Processes. McGraw-Hill Europe; 4th edition, 2002. ISBN 0-07-366011-6
!Hothorn, T. ? Everitt, B. S.: Chapman & Hall/CRC Press, Boca Raton, Florida, USA, 3rd edition, 2014. ISBN 978-1-4822-0458-2.
!Stowell, S.: Using R for Statistics. Springer, Berlin, 2014. ISBN 978-1484201404.

Abbreviations used:

Semester:

• W ... winter semester (usually October - February)
• S ... spring semester (usually March - June)
• W,S ... both semesters

Mode of completion of the course:

• A ... Assessment (no grade is given to this course but credits are awarded. You will receive only P (Passed) of F (Failed) and number of credits)
• GA ... Graded Assessment (a grade is awarded for this course)
• EX ... Examination (a grade is awarded for this course)
• A, EX ... Examination (the award of Assessment is a precondition for taking the Examination in the given subject, a grade is awarded for this course)

Weekly load (hours per week):

• P ... lecture
• C ... seminar
• L ... laboratory
• R ... proseminar
• S ... seminar