SUBJECT
Title
Statistical computing 2
Type of instruction
lecture
Level
master
Faculty
Part of degree program
Credits
3
Recommended in
Semesters 1-4
Typically offered in
Autumn/Spring semester
Course description
Multidimensional statistics: review of methods and demonstration of computer instruments.
Dimension reduction. Principal components, factor analysis, canonical correlation. Multivariate Analysis of Categorical Data. Modelling binary data, linear-logistic model.
Principle of multidimensional scaling, family of deduced methods. Correspondence analysis. Grouping. Cluster analysis and classification. Statistical methods for survival data analysis.
Probit, logit and nonlinear regression. Life tables, Cox-regression.
Computer practice. Instruments: EXCEL, Statistica, SPSS, SAS, R-project.
Readings