Statistics in Transport (PhD)

Transport is an integral part of advanced societies. He is responsible for passenger transport, including access to services and goods and leisure mobility. He is also responsible for transporting consumer goods. Regional, national and global economies rely on efficient and safe transport. The aim of the course is the statistical analysis of data generated during transport processes. Descriptive statistics. Class interval estimation, hypothesis test, sample comparison. Linear regression. Time series analysis. Principal Component Analysis. Spatial Statistics.

The student repeats the material of the descriptive statistics and the hypothesis test. It learns the evolution of predictions, and thus opens up its thinking to accommodate novel solutions. The student will be able to specialize the general statistical problems in time and space.

28 h / 14 weeks

3

Written examination

10

Budapest University of Technology and Economics

Faculty of Transportation Engineering and Vehicle Engineering

Department of Transport Technology and Economics