Course code Mate2008
Credit points 2.25
Mathematical Statistics II
Total Hours in Course60
Number of hours for lectures16
Number of hours for laboratory classes8
Date of course confirmation19.10.2011
Responsible UnitInstitute of Computer Systems and Data Science
Course developer
Datoru sistēmu un datu zinātnes institūts
Laima Bērziņa
Dr. sc.ing.
Course abstract
Students learn and acquire skills to use mathematical statistics methods with the emphasis on applied mathematical statistics, statistical methodology and data interpretation and improvement, with the aim of advancing statistics for environment, ecology and environmental health, and practice using valid statistics.
Learning outcomes and their assessment
Knowledge and understanding of ANOVA, correlation, rank correlation, regression analysis, time series analysis and qualitative data analysis in accordance with the objectives of the study tasks; skills to practical application of statistical methods to environmental science; competence to analyze and systematize the data analysis results and use them in scientific work.
Compulsory reading
1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Rīga: Datorzinību Centrs, 2006. 364 lpp.
2. Smotrovs J. Varbūtību teorija un matemātiskā statistika II. Rīga: Zvaigzne ABC, 2007. 136 lpp.
3. Grīnglazs L., Kopitovs J. Matemātiskā statistika: ar datoru lietojuma paraugiem uzdevumu risināšanai. Rīga: Rīgas Starptautiskās ekonomikas un biznesa administrācijas augstskola, 2003. 310 lpp.
4. Helsel D.R., Hirsch R.M. Statistical Methods in Water Resources Techniques of Water Resources Investigations. U.S.: Geological Survey, 2002. 522 p.
Further reading
1. Mac Berthouex P., Brown L.C. Statistics for Environmental Engineers. Lewis Publishers, 2002. 489 p.
2. Gibbons R.D., Coleman D.E. Statistical Methods for Detection and Quantification of Environmental Contamination. John Wiley&Sons, 2001. 384 p.