Mathematical Statistics (9785) |
| Credits: 3,0 | | Study load hours: 81 | Period: semester 2 (3sp)  |
| Language of instruction: English | | Exam contract: not possible |
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Mandatory sequentiality bound on the level of programme components
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Following programme components must have been included in your study programme in a previous education period
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Concepts of Probability and Statistics (9767)
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6.0 stptn | |
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The student needs a good mathematical background (integration, differentiation, matrices, Taylor series, ...) and basic statistics.
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Mathematical foundations of: 1. Probability theory; 2. Random vectors and joint distributions; 3. Convergence of random variables; 4. Point estimation; 5. Likelihood-based estimation; 6. Optimality of estimation
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| Compulsory textbooks (bookshop) |
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book: Mathematical statistics, Keith Knight, CRC Press, ISBN 978-158488178-0 (this book is online available as a pdf) |
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Lecture ✔
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Small group session ✔
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Semester 2 (3,00sp)
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| Use of study material during evaluation | ✔ |
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| Explanation (English) | Formularium will be provided |
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Second examination period
| Evaluation second examination opportunity different from first examination opprt | |
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Learning outcomes | EC = learning outcomes DC = partial outcomes BC = evaluation criteria |
Master of Statistics and Data Science
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- EC
| The student is able to correctly use the theory, either methodologically or in an application context or both, thus contributing to scientific research within the field of statistical science, data science, or within the field of application. | | | - DC
| The student is able to correctly use the theory in an application context, thus contributing to scientific research within the field of application. |
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| Included in these programmes | Tolerance3 |
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Y
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1 Education, Examination and Legal Position Regulations art.12.2, section 2. |
| 2 Education, Examination and Legal Position Regulations art.15.1, section 3. |
3 Education, Examination and Legal Position Regulations art.16.9, section 2.
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