Dozent: | Prof. Dr. Martin Biewen | |
Profilbildung: | B.Sc. in Economics and Business Administration B.Sc. in International Economics B.Sc. in International Business Administration Bachelor-Nebenfach Betriebswirtschaftslehre Bachelor-Nebenfach Volkswirtschaftslehre | |
Voraussetzungen: | Explorative Datenanalyse, Wahrscheinlichkeit und Risiko | |
Sprache: | Deutsch | |
Zeit und Ort: | Herunterladbare Lehrvideos in Ilias (Einladungslink wird an alle in Ilias registrierte Kursteilnehmer verschickt) | |
Beginn | 02.11.2020 | |
Prüfung: | Klausur (60 Min.) | |
Kreditpunkte: | 6 ECTS |
Die Vorlesungsvideos werden ab 02.11.2020 jeweils zu Wochenbeginn in Ilias eingestellt. Die wöchentliche Live-Session zur Vorlesung findet ab dem 02.11.2020 immer Mo 11:00 per Zoom statt. Den Einladungslink erhalten Sie per email innerhalb von Ilias.
Die Videos zu den Tutorien werden ab 30.11.2020 jeweils zu Wochenbeginn in Ilias eingestellt. Es wird darüber hinaus in der jeweiligen Wochenmitte eine Live-Session zum Tutorium statt finden, zu der Sie ebenfalls innerhalb von Ilias einen Einladungslink erhalten.
Bitte bearbeiten Sie die Übungsaufgaben selbständig in der Woche vor der das zugehörige Lösungsvideo hochgeladen wird.
Terminplan Übungsblätter:
30.11.2020 | Übungsblatt 1 |
07.12.2020 | Übungsblatt 2 |
14.12.2020 | Übungsblatt 3 |
21.12.2020 | Übungsblatt 4 |
11.01.2021 | Übungsblatt 5 |
18.01.2021 | Übungsblatt 6 |
25.01.2021 | Übungsblatt 7 |
01.02.2021 | Übungsblatt 8 |
08.02.2021 | Übungsblatt 9 |
15.02.2021 | Übungsblatt 10 |
22.02.2021 | Übungsblatt 11 |
Die Kursmaterialien werden bei Ilias eingestellt. Das Passwort ist identisch mit dem vom letzten Semester.
1) Einführung
2) Punktschätzung
3) Intervallschätzung
4) Statistisches Testen
5) Spezielle Testverfahren
6) Multivariate Regressionsanalyse
7) Einführung in Stata
8) Stochastische Prozesse und Zeitreihenmodelle
9) Überblick über multivariate statistische Verfahren incl. Machine Learning
Schira: Statistische Methoden der VWL und BWL. Theorie und Praxis. Pearson Studium, München.
Fahrmeir/Künstler/Pigeot/Tutz: Statistik. Springer, Heidelberg.
Mosler/Schmid: Beschreibende Statistik und Wirtschaftsstatistik
Mosler/Schmid: Wahrscheinlichkeitsrechnung und Schließende Statistik
Bamberg/Baur/Krapp: Statistik
Kohler/Kreuter: Datenanalyse mit Stata
Backhaus/Erichson/Plinke/Weiber: Multivariate Analysemethoden
Härdle/Simar: Applied Multivariate Statistical Analysis
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