STK2120 – Statistical Methods and Data Analysis 2

Course content

Multiple linear regression and analysis of variance. Examples of non-linear regression and regression with binary data. Analysis of frequency tables and contingency tables. Numerical optimization of likelihood functions. Properties of maximum likelihood estimators in large samples. Non-parametric bootstrapping. Testing of hypotheses and the likelihood ratio test. Graphical methods for model check.

Learning outcome

The course gives additional theory and methods for statistical inference. Additional important methods are discussed.

Admission

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Prerequisites

Formal prerequisite knowledge

In addition to fulfilling the Higher Education Entrance Qualification, applicants have to meet the following special admission requirements:

  • Mathematics R1 (or Mathematics S1 and S2) + R2

And in addition one of these:

  • Physics (1+2)
  • Chemistry (1+2)
  • Biology (1+2)
  • Information technology (1+2)
  • Geosciences (1+2)
  • Technology and theories of research (1+2)

The special admission requirements may also be covered by equivalent studies from Norwegian upper secondary school or by other equivalent studies (in Norwegian).

Recommended previous knowledge

STK1100 – Probability and Statistical Modelling, STK1110 – Statistical Methods and Data Analysis, MAT1100 – Calculus, MAT1110 – Calculus and Linear Algebra, MAT1120 – Linear Algebra, MAT-INF1100 – Modelling and Computations (discontinued), INF1100 – Introduction