course-details-portlet

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.

Course materials

Peter J. Bickel and Kjell A. Doksum. Mathematical statistics: basic ideas and selected topics, 2nd edition, 2001. Prentice Hall.

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2011

Language of instruction: -

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Subject area(s)
  • Statistics
Contact information
Course coordinator:
  • 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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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