Excel
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)