| Titre du cours | |
| Code du cours | Mate2038 |
| Crédits (ECTS) | 3 |
| La quantité totale d'heures en classe | 81 |
| Nombre de conferences | 16 |
| Nombre de travaux pratiques et des séminaires | 16 |
| La quantitē d'heures de travail autonome d'un ētudiant | 49 |
| Date de l'approbation du cours | 20/01/2015 |
| Auteurs du cours | |
| , Laima Bērziņa |
|
| Connaissances de base | |
| Mate2037, |
|
| Manuels | |
| 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 |
|
| Ouvrages supplémentaires | |
| 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 |
|
| Périodiques et d`autres ressources d`information | |
| 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) | |