Mathematical Statistics

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Mathematics

Synopsis:

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.

Requirements:

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Study materials:

!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.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Civil Engineering (compulsory course)
• Civil Engineering (compulsory course)