ST817: Mathematical Statistics II
Study Board of Science
Teaching language: Danish or English depending on the teacher
EKA: N370006112, N370006102
Assessment: Second examiner: None, Second examiner: Internal
Grading: Pass/Fail, 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master
STADS ID (UVA): N370006101
ECTS value: 5
Date of Approval: 25-04-2019
Duration: 1 semester
Version: Archive
Comment
Entry requirements
Academic preconditions
Students taking the course are expected to know the content of the course ST521 Mathematic Statistics.
Course introduction
The aim of the course is to enable the student a further and advanced understanding of the theory and methods in mathematical statistics, which is important in regard to master the use of these for practical data analysis.
The course builds on the knowledge acquired in the course ST521
Mathematical statistics, and demonstrate advanced topics in mathematical statistics as such complements courses like e.g. computational statistics, multivariate analysis, linear models and probability theory, as well as for a possible master project in statistics
In relation to the competence profile of the degree it is the explicit focus of the course to:
- Give the competence to master the theories and methods of mathematical statistics, as well as their application to statistical inference
- Give skills to perform statistical analysis of data and critically argue for the choice between relevant models for analysis and solution
- Give theoretical knowledge and practical understanding of the application of methods and models in mathematical statistics
Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:
- master the advanced theory and methods of mathematical statistics
- master the application of these in statistical inferenc
Content
The following main topics are contained in the course:
- Advanced theoretical results in hypothesis test
- Advanced theoretical results in linear models
- Nonparametric statistics
Literature
Examination regulations
Prerequisites for participating in the exam a)
Timing
Autumn
Tests
Report
EKA
N370006112
Assessment
Second examiner: None
Grading
Pass/Fail
Identification
Full name and SDU username
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
0
Additional information
The prerequisite examination is a prerequisite for participation in exam element a).
Exam element a)
Timing
January
Prerequisites
| Type | Prerequisite name | Prerequisite course |
|---|---|---|
| Examination part | Prerequisites for participating in the exam a) | N370006101, ST817: Mathematical Statistics II |
Tests
Written exam
EKA
N370006102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card
Language
Normally, the same as teaching language
Examination aids
Allowed, a closer description of the exam rules will be posted under 'Course Information' on Blackboard.
ECTS value
5
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
Lectures will introduce general concepts and theory and exercise sessions will be devoted to learning material in depth. Interactive teaching will be used and, if possible, smart boards.
Studying the course material and preparing the weekly exercises, individually or through group work.