Course - General Statistical Methods - MA8701
MA8701 - General Statistical Methods
About
Examination arrangement
Examination arrangement: Oral examination
Grade: Letters
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Oral examination | 100/100 |
Course content
The course is usually given every second year, and only if a sufficient number of students register. It is given next time Spring 2011. If too few students register, the course is given as a guided self study.
The course gives a broad introduction to the basic principles of statistical inference. Together with course MA8704 (MA8700) Probability theory and asymptotic techniques it provides a theoretical basis for PhD students in statistics.
The course includes:
Thorough and basic introduction to classical statistics: sufficient statistics, exponential families, estimation, hypothesis testing, linear models. Bayesian statistics. Decision theory. Robustness. Non-parametric estimation of distribution functions and density functions. Advanced Bayes-analyses (empirical and non-parametric Bayes methods).
Learning methods and activities
Lectures, alternatively guided self-study.
Recommended previous knowledge
The course builds on TMA4295 Statistical inference, or equivalent knowledge.
Course materials
Peter J. Bickel and Kjell A. Doksum. Mathematical statistics: basic ideas and selected topics, 2nd edition, 2001. Prentice Hall.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2011
Language of instruction: -
-
- Statistics
- Nikolai Ushakov
Department with academic responsibility
Department of Mathematical Sciences
Examination
Examination arrangement: Oral examination
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Oral examination 100/100
-
Room Building Number of candidates - Spring ORD Oral examination 100/100
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"