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Root number
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11460 |
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Semester
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FS2023 |
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Type of course
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Lecture |
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Allocation to subject
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Statistics |
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Type of exam
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not defined |
| Title |
Linear Models and Regression II |
| Description |
* General Considerations about Estimation
(Means and quantiles as optimal predictors, loss and risk functions, maximum likelihood estimation, application to regression problems)
* Logistic Regression and other Generalized Linear Models
(Logistic regression, general asymptotic considerations, methods for multicategorial response, Poisson regression)
* Bootstrap Methods (if time permits)
(Bootstrap for i.i.d. observations, bootstrap for regression models: parametric, residual and wild bootstrap)
* Isotonic Regression
(Examples for isotonic regression, Pool-Adjacent-Violators algorithm, geometrical considerations for isotonic least squares) |
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ILIAS-Link (Learning resource for course)
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Registrations are transmitted from CTS to (no admission in ILIAS possible).
ILIAS
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Link to another web site
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| Lecturers |
Prof. Dr.
Lutz Dümbgen, Teaching Staff, Faculty of Science ✉
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ECTS
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6 |
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Recognition as optional course possible
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Yes |
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Grading
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1 to 6 |
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| Dates |
Monday 08:15-10:00 Weekly
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Thursday 08:15-10:00 Weekly
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Thursday 31/8/2023 08:30-12:00
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| Rooms |
Hörraum B077, Exakte Wissenschaften, ExWi
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Hörraum B078, Exakte Wissenschaften, ExWi
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| |
| Students please consult the detailed view for complete information on dates, rooms and planned podcasts. |
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Öffentlicher Bereich
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