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Inference Theory 2

  • Number of credits 7.5 Credits
  • Level Master’s level
  • Starting Autumn Term 2017

About the course

The aim of the course is that the student should understand the general principles that constitutes the basic foundation of statistical theory and hence be qualified for contued studies on the PhD level. In the course, basic notions in statistical theory are treated, such as sufficient statistics and the principles of likelihood theory. Different methods for estimation and hypothesis testing, and methods for evaluating them, are also covered.

Application and eligibility

Inference Theory 2, 7.5 hp

Det finns inga tidigare terminer för kursen Autumn Term 2017 Det finns inga senare terminer för kursen

Starts

Lectures begin on week starting 30 October 2017

Ends

Lectures end during the week of 8 January 2018

Study location

Umeå

Language

English (upon request)

Type of studies

Daytime, 50%

Required Knowledge

The course requires 90 ECTS including courses in Mathematical Statistics minimum 12 ECTS or courses in Statistics, minimum 75 ECTS and in both cases a course in Basic Calculus, 7,5 ECTS. Proficiency in English equivalent to Swedish upper secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.

Selection

Guaranteed place Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code

UMU-58210

Application

Application deadline was 18 April 2017. The application period is closed.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK16,875

Total fee

SEK16,875

Contact us

Contactperson for the course is: Study counselor Lars-Daniel Öhman

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Course is given by
Dept of Mathematics and Mathematical Statistics