270203 Multivariate Verfahren II (V) (SoSe 2017)
Contents, comment
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Im Vordergrund der Veranstaltung stehen kategoriale Daten:
Logistische Regression (Vorhersage eines dichotomen Kriteriums), Cox-Regression (Vorhersagte eines dichtomen Kriteriums über Zeit, eine Überlebenszeitanalyse), Loglineare Modelle (Analyse mehrdimensionaler Häufigkeitstabellen), Latent-Class (Aufdeckung von Subpopulation), Clusteranalyse (Clusterbildung anhand von Distanzmaßen), ggf. werden Inhalte aus "Multivariate Verfahren" wiederholt und vertieft.
Requirements for participation, required level
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Die Vorlesung baut auf statistischen Grundbegriffen und Verfahren aus dem BSC-Studium auf. Folgende Kenntnisse sind unabdingbar: lineare Regression, uni- und bivariate kategoriale Testverfahren (z.B. x²-k*l-Test, x²-Anpassungstest) sowie bedingte Wahrscheinlichkeiten. Sollten einige dieser Punkte nicht mehr präsent sein wird dringend empfohlen diese selbstständig vor Beginn der Vorlesung zu wiederholen. Inhalte der Veranstaltungen "Multivariate Verfahren" und "Evaluation" werden als bekannt vorausgesetzt, sind aber nicht zwingend erforderlich.
Bibliography
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Wird in der 1. Veranstaltung bekannt gegeben
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 10-12 | H13 | 18.04.-28.07.2017 |
Examinations
| Date | Time | Format / Room | Comment about examination |
|---|---|---|---|
| Friday, August 11, 2017 | 10-12 | AUDIMAX | |
| Friday, September 22, 2017 | 10-12 | H4 |
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Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 27-M-A Forschungsmethoden und Evaluation | A.2 Multivariate Verfahren II | Graded examination
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Student information |
| 27-M-A_ver1 Forschungsmethoden und Evaluation | A.2 Computergestützte Erhebung, Modellierung und Analyse von Daten | Graded examination
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
| Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
|---|---|---|---|---|---|---|---|
| Statistische Wissenschaften / Master | (Enrollment until SoSe 2014) | SW5 | 1. | 4 |
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