STAT351 Statistical Theory

Credits (ECTS):10

Course responsible:Lars Erik Gangsei

Campus / Online:Taught campus Ås

Teaching language:Engelsk

Limits of class size:100

Course frequency:Annually

Nominal workload:

Lectures: 50 hours.

Colloquia: 30 hours.

Self-study: 170 hours.

Teaching and exam period:This course starts in fall parallel. This course has teaching/evaluation in the fall parallel.

About this course

Continuous probability distributions.The most important asymptotic results in estimation theory. Linear models treated generally with matrix formulation. Specialisation to regression analysis. Estimation and hypothetis testing in linear models. Multivariable distributions from a matrix formulation. Simulation in R/R-studio.

Learning outcome

KNOWLEDGE: The students will aquire a basic theoretical understanding of the most important classes of mathematical-statistical models used for instance when analysing biological data, and for the statistical methods developed in connection with such models.

SKILLS: They should be able to see connections for exponential distribution classes in general and for linear models in particular. They should also understand why and when a model reduction produces better result. The students will also be able to present subject-relevant material both orally and written.

COMPETENCE: The students should be able to apply what they have learned to problems in their studies and later in the professional life and perform analyzes on their own data. They should also be able to ask critical questions about the statistical results presented to them and assess the sustainability of these.

  • Lectures, self-study, calculation exercises. At least one compulsory assignments that must be passed.
  • Canvas.
  • STAT100 or equivalent, MATH131 or equivalent. Basic knowledge of R/R-studio.
  • Written exam, 3,5 hours, counts 100 %.
  • An external examiner controls and approves the examination assignment and grades the examination papers together with the lecturer.
  • At least two compulsory assignments has to be approved.
  • 4 hours per week. Mainly lectures, but also some calculation exercises.
  • M-BIAS
  • Letter grades
  • Special requirements in Science