457-0312/01 – Statistics III (STA3)
| Gurantor department | Department of Applied Mathematics | Credits | 4 |
| Subject guarantor | prof. Ing. Radim Briš, CSc. | Subject version guarantor | prof. Ing. Radim Briš, CSc. |
| Study level | undergraduate or graduate | Requirement | Optional |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2003/2004 | Year of cancellation | 2009/2010 |
| Intended for the faculties | FEI | Intended for study types | Master |
Subject aims expressed by acquired skills and competences
Gemeral linear statistical models - introduction.
Teaching methods
Individual consultations
Project work
Summary
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.
Compulsory literature:
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
Recommended literature:
Searle L.R.; Linear Statistical Models; Second Edition, J. Wiley & Sons, 1986
Way of continuous check of knowledge in the course of semester
2 tests, max 20 points.
E-learning
Other requirements
Prerequisities
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Topics:
Multivariate normal distribution.
Full rank linear model.
Model building, Robust Estimation.
Less then full rank models, Factorial design.
Randomized block designs.
Random effect models.
Hierachical and nested designs.
Response surface designs.
Analysis of covariance.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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