MAT12 Mathematical Statistics
The course deals with probability theory and methods for statistical inference and is preparing students for future studies in business analytics, econometrics and statistics. The statistical software R is used in the course.
- Stochastic variables, probability distributions, one- and multivariate
- Transformations of variables; moments
- Special distributions: Normal, exponential, Gamma, Beta, t, F and chisquare.
- Modes of convergence: in probability, in distribution; law of large numbers and the central limit theorem
- Sample distributions
- Estimation: The maximum likelihood principle, consistency and efficiency
- Hypothesis testing: The likelihood ratio method
- Bayesian methods
After completing the course the student
- knows the theory foundation for the statistical methods studied at the compulsory courses in statistics
- has knowledge to solve statistical problems which does not have a worked out solution in introductory text books in economic statistics
After completing the course the student can
- formulate a stochastic model based on a given decision problem
- fit this model to a data set
- evaluate the uncertainty in this fit
After completing the course the student is prepared to
- a faster progression in quantitative courses in later master studies
- read more advanced articles in economic journals, particularly with respect to econometrics
The teaching is given in the form of lectures, where both theory, examples and exercises is discussed.
MAT10 Analyse og lineær algebra (Calculus and Linear Algebra)
MET040/MET2 - Statistikk for økonomer (Statistics for Economists)
Credit reduction due to overlap
Corresponds to MAT013
A compulsory assignment must be passed in order to attend the written exam.
5 hours written school exam.
A - F
(HT) Hogg, Tanis and Zimmerman: Probability and statistical inference 9ed, Pearson, 2015 (8ed, Prentice Hall, 2010, by Hogg and Tanis is also possible to use)
Permitted Support Material
One bilingual dictionary (Category I)
All in accordance with Supplementary provisions to the Regulations for Full-time Study Programmes at the Norwegian School of Economics Ch.4 Permitted support material
and https://www.nhh.no/en/for-students/regulations/ https://www.nhh.no/en/for-students/regulations/ https://www.nhh.no/en/for-students/examinations/examination-support-materials/ https://www.nhh.no/en/for-students/examinations/examination-support-materials/
- ECTS Credits
- Teaching language
Professor Jonas Andersson, Department of Business and Management Science.