Syllabus for Inference
- 7.5 credits
- Course code: 2ST120
- Education cycle: Second cycle
Main field(s) of study and in-depth level:
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
- G1N: has only upper-secondary level entry requirements
- G1F: has less than 60 credits in first-cycle course/s as entry requirements
- G1E: contains specially designed degree project for Higher Education Diploma
- G2F: has at least 60 credits in first-cycle course/s as entry requirements
- G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
- GXX: in-depth level of the course cannot be classified
- A1N: has only first-cycle course/s as entry requirements
- A1F: has second-cycle course/s as entry requirements
- A1E: contains degree project for Master of Arts/Master of Science (60 credits)
- A2E: contains degree project for Master of Arts/Master of Science (120 credits)
- AXX: in-depth level of the course cannot be classified
- Grading system: Fail (U), Pass (G), Pass with distinction (VG)
- Established: 2013-03-26
- Established by:
- Revised: 2022-10-14
- Revised by: The Department Board
- Applies from: Spring 2023
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science
- Responsible department: Department of Statistics
After completing the course the student is expected to
- be familiar with and understand the basic principles of estimation
- be familiar with and understand the basic principles of testing
- be familiar with and understand the basic principles of confidence intervals.
Method of moments, method of maximum likelihood, the invariance principle, consistency and unbiasedness, likelihood ratio tests, LM (score) and Wald tests, significance level and power function, properties of tests, interval estimation.
Instruction is given in form of lectures.
The examination takes place partly through a written examination at the end of the course and/or through presentation orally and in written form of compulsory assignments.
"If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator."
- Latest syllabus (applies from Spring 2023)
- Previous syllabus (applies from Spring 2020)
- Previous syllabus (applies from Autumn 2013, version 2)
- Previous syllabus (applies from Autumn 2013, version 1)
Applies from: Spring 2023
Some titles may be available electronically through the University library.
Berger, Roger L.
2. ed.: Pacific Grove, CA: Duxbury, 2008