SUBJECT

Statistical computing 1

lecture

master

Faculty of Science

Mathematics MSc

3

Semesters 1-4

Autumn/Spring semester

Statistical hypothesis testing and parameter estimation: algorithmic aspects and technical instruments. Numerical-graphical methods of descriptive statistics. Estimation of the location and scale parameters. Testing statistical hypotheses.  Probability distributions.

Representation of distribution functions, random variate generation, estimation and fitting probability distributions. The analysis of dependence.  Analysis of variance. Linear regression models. A short introduction to statistical programs of different category:  instruments for demonstration and education, office environments, limited tools of several problems, closed programs, expert systems for users and specialists.

Computer practice (EXCEL, Statistica, SPSS, SAS, R-project).

• http://office.microsoft.com/en-us/excel/HP100908421033.aspx
• http://www.statsoft.com/textbook/stathome.html
• http://www.spss.com/stores/1/Training_Guides_C10.cfm
• http://support.sas.com/documentation/onlinedoc/91pdf/sasdoc_91/insight_ug_9984.pdf
• http://www.r-project.org/doc/bib/R-books.html
• http://www.mathworks.com/access/helpdesk/help/pdf_doc/stats/stats.pdf