300054 VO Selected statistical Methods I: Time Series Analysis (2017S)
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Details
Language: German
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
Organizational Meeting will be announced at the beginning of the semester.
- Tuesday 07.03. 15:00 - 16:00 Aufenthaltsraum (Kickoff Class)
- Tuesday 14.03. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 21.03. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 28.03. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 04.04. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 25.04. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 02.05. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 09.05. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 16.05. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 23.05. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 30.05. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 13.06. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 20.06. 15:00 - 17:00 Aufenthaltsraum
- Tuesday 27.06. 15:00 - 17:00 Aufenthaltsraum
Information
Aims, contents and method of the course
Assessment and permitted materials
Examination after completion of the lecture series
Minimum requirements and assessment criteria
Knowledge acquired in an Introduction to Statistics lecture.
Examination topics
Content of the presentations in the lectures
Reading list
P. Brockwell & R. Davis: Introduction to Time Series and Forecasting; Springer
R. H. Shumway & D. S. Stoffer: Time Series Analysis and Its Applications; Springer
J. D. Cryer & K. S. Chan: Time Series Analysis with Applications in R; Springer
Lecture Notes
R. H. Shumway & D. S. Stoffer: Time Series Analysis and Its Applications; Springer
J. D. Cryer & K. S. Chan: Time Series Analysis with Applications in R; Springer
Lecture Notes
Association in the course directory
B-WZB, WZB
Last modified: Mo 07.09.2020 15:43
Time series analysis of examples will be demonstrated. Whenever requested, practice problems will be supplied. Lecture notes will be made available.