| Course Unit Code | 470-4403/03 |
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| Number of ECTS Credits Allocated | 6 ECTS credits |
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| Type of Course Unit * | Choice-compulsory type B |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| BRI10 | prof. Ing. Radim Briš, CSc. |
| KRA0220 | Ing. Jan Kracík, Ph.D. |
| Summary |
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| Purpose: to introduce the general theory of linear statistical models; present standard methods of parameter estimation, testing, model building, and evaluation; to develop skills in implementing and interpreting standard statistical software for data analysis. |
| Learning Outcomes of the Course Unit |
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| Gemeral linear statistical models - introduction. |
| Course Contents |
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Topics:
Multivariate normal distribution.
Full rank linear model.
Model building.
Box-Cox transformation.
Generalized linear models.
Logistic regression.
Bayes methods.
Bayes decision making.
Analysis of covariance. |
| Recommended or Required Reading |
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| Required Reading: |
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Box G.E.P., Hunter W.G., Hunter J.S.; Statistics for Experimenters; J. Wiley & Sons, 1978.
Searle L.R.; Linear Statistical Models; Second Edition, J. Wiley & Sons, 1986
Fahrmeir L., Tutz G., Multivariate Statistical Modelling Based on Generalized Linear Models, Springer 2001, ISBN 0-38795187-3. |
Anděl J.; Matematická statistika; SNTL/ALFA 1978.
Zvára K.: Regrese, MATFYZPRESS Praha 2008, ISBN 978-80-7378-041-8 |
| Recommended Reading: |
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Searle L.R.; Linear Statistical Models; Second Edition, J. Wiley & Sons, 1986
McCullagh P., and Nelder J.A., Generalized Linear Models, Chapmann & Hall/CRC 1989, ISBN 0-412-31760-5. |
Searle L.R.; Linear Statistical Models; Second Edition, J. Wiley & Sons, 1986
McCullagh P., and Nelder J.A., Generalized Linear Models, Chapmann & Hall/CRC 1989, ISBN 0-412-31760-5. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 40 | 20 |
| Examination | Examination | 60 | 15 |