| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Mathematical Statistics II |
| Course code | Mate2038 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 16 |
| Number of hours for seminars and practical classes | 16 |
| Independent study hours | 49 |
| Date of course confirmation | 20/01/2015 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Dr. sc.ing., asoc. prof. Laima Bērziņa |
|
| Prior knowledge | |
| Mate2037, Mathematical Statistics I |
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| Course abstract | |
| Students learn and acquire skills to use mathematical statistics methods with the emphasis on applied advancing statistics for environment, ecology and environmental health, including analysis of variance, correlation and regression analysis, and spectral analysis. Students get experience in interpretation of statistical analysis results. | |
| 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. |
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| 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. Pieejama elektroniski https://books.google.com |
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| Further reading | |
| 1. Gilbert R.O. Statistical Methods for Environmental Pollution Monitoring. John Wiley&Sons, 1987. 336 p.
2. Mac Berthouex P., Brown L.C. Statistics for Environmental Engineers. Lewis Publishers, 2002. 489 p. Pieejama elektroniski https://books.google.com 3. Gibbons R.D., Coleman D.E. Statistical Methods for Detection and Quantification of Environmental Contamination. John Wiley&Sons, 2001. 384 p. Pieejama elektroniski https://books.google.com |
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| Periodicals and other sources | |
| 1. Environmental and Ecological Statistics. Publisher Springer US. ISSN: 1573-3009 (electronic version) 2. Journal of Agricultural, Biological, and Environmental Statistics. Publisher Springer US. ISSN: 1537-2693 (electronic version) | |