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Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
Advanced Studies in Statistics, 80 ECTS

Learning outcomes

The objective of advanced courses is to familiarise the student with central statistical models and enhance and extend his ability to apply statistical methods. A further objective is to guide students in the written composition and oral delivery of research work and research results.

Evaluation

Numeric 1-5.

Further information

In addition to the courses presented here, many intermediate courses may also be complemented so that they correspond to the advanced courses. The student may also discuss the option of a set book examination of those courses which will not be lectured with the professor of statistics.

Belongs to following modules

School of Information Sciences
Statistics: M.Sc. (Statistics)
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Advanced Studies in Statistics

80 ECTS
TILTS1 Statistical Inference II, 10 ECTS
TILTS5 Bayesian Data Analysis, 10 ECTS
TILTS7 Time Series Econometrics, 4 ECTS
TILTS8 Linear Models, 10 ECTS
TILTS10 Risk Theory, 10 ECTS
TILTS17 Advanced Matrix Algebra, 10 ECTS
TILTS18 Generalized Linear Models II, 10 ECTS
TILTS19 Survey on Recent Statistical Research and Methodology, 1–3 ECTS
TILTS22 Nonparametric Regression, 10 ECTS
TILTS23 Statistical Analyzing of Databases (SQL and VBA), 8 ECTS
TILTS33 Stochastic Models, 4 ECTS
TILTA23 Advanced Computational Statistics, 10 ECTS
TILTS6 Master's Thesis, 40 ECTS
School of Information Sciences