Universität Wien
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040726 UK Mathematical Statistics (2021W)

10.00 ECTS (5.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
REMOTE

Anwesenheit in erster Einheit unerlaesslich, da Warteliste gut gefuellt.
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 35 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 04.10. 13:15 - 16:30 Digital
  • Wednesday 06.10. 13:15 - 16:30 Digital
  • Monday 11.10. 13:15 - 16:30 Digital
  • Wednesday 13.10. 13:15 - 16:30 Digital
  • Monday 18.10. 13:15 - 16:30 Digital
  • Wednesday 20.10. 13:15 - 16:30 Digital
  • Monday 25.10. 13:15 - 16:30 Digital
  • Wednesday 27.10. 13:15 - 16:30 Digital
  • Wednesday 03.11. 13:15 - 16:30 Digital
  • Monday 08.11. 13:15 - 16:30 Digital
  • Wednesday 10.11. 13:15 - 16:30 Digital
  • Monday 15.11. 13:15 - 16:30 Digital
  • Wednesday 17.11. 13:15 - 16:30 Digital
  • Monday 22.11. 13:15 - 16:30 Digital
  • Wednesday 24.11. 13:15 - 16:30 Digital
  • Monday 29.11. 13:15 - 16:30 Digital
  • Wednesday 01.12. 13:15 - 16:30 Digital
  • Monday 06.12. 13:15 - 16:30 Digital
  • Monday 13.12. 13:15 - 16:30 Digital
  • Wednesday 15.12. 13:15 - 16:30 Digital
  • Monday 10.01. 13:15 - 16:30 Digital
  • Wednesday 12.01. 13:15 - 16:30 Digital
  • Monday 17.01. 13:15 - 16:30 Digital
  • Wednesday 19.01. 13:15 - 16:30 Digital
  • Monday 24.01. 11:30 - 14:45 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 26.01. 13:15 - 16:30 Digital
  • Monday 31.01. 13:15 - 16:30 Digital

Information

Aims, contents and method of the course

Basics of estimation and test theory, introduction to statistical modeling and decision theory.
Course is presented by streaming.

Assessment and permitted materials

Regular participation in the courses is desirable. At least 50% of the weekly exercises must be completed. Depending on the size of the group, you will present an exercise 2-3 times per semester in the course of the exercise. At the end of the semester, there is a written exam.

Minimum requirements and assessment criteria

The grading will consist of the following points:
- Proportion of correctly solved exercises.
- Quality of the presented exercises.
- Result of the written exam.
The exact proportions and grading standards will be announced on Moodle and in the course of the first events.

Examination topics

content of the LV.

Reading list

There are very many introductory statistics textbooks, see for instance:
E. L. Lehmann, G. Casella. Theory of Point Estimation.
E. L. Lehmann. Testing Statistical Hypotheses.
E. L. Lehmann. Elements of Large Sample Theory.
Sehr empfehlenswert wegen ihrer Konzentration auf das Wesentliche sind diese zwei Bücher:
L. Wasserman. All of Statistics.
L. Wasserman. All of Nonparametric Statistics.

J. Lehn, H. Wegmann. Einführung in die Statistik.
H. Pruscha. Vorlesungen über Mathematische Statistik.
H. Pruscha. Angewandte Methoden der Mathematischen Statistik.
L. Breiman. Statistics: With a View Toward Applications.
V. Rohatgi. Statistical Inference.
G. Casella, R. L. Berger. Statistical Inference.
W. Pestman. Mathematical Statistics: An Introduction.
K. Bosch. Elementare Einführung in die angewandte Statistik: Mit Aufgaben und Lösungen.
Folgende Lehrbücher behandeln sowohl Wahrscheinlichkeitstheorie als auch Statistik:
H. Dehling und B. Haupt. Einführung in die Wahrscheinlichkeitstheorie und Statistik.
U. Krengel. Einführung in die Wahrscheinlichkeitstheorie und Statistik.
H.{O. Georgii. Stochastik: Einfuhrung in die Wahrscheinlichkeitstheorie und Statistik.

Association in the course directory

Last modified: Fr 12.05.2023 00:13