Kurs-Code VidZ5039
Kreditpunkte 3
Stundenzahl insgesamt (im Auditorium)81
Vorlesungen (Stundenzahl)12
Arbeit im Labor (Stundenzahl)12
Selbststandige Arbeit des Studenten (Stunden)57
Bestätigt am (Datum)16.03.2022
Kurs ausgearbeitet von (Lehrkraft)
Laima Bērziņa
Vorkenntnisse
VidZ5038,
Zur einfŅhrenden LektŅre empfohlen
Arhipova I., Balina S. Statistika ekonomikā un biznesā. Risinājumi ar SPSS un MS Excel: mācību līdzeklis. Rīga: Datorzinību centrs, 2006. 362 lpp.
Smotrovs J. Varbūtību teorija un matemātiskā statistika II. Rīga: Zvaigzne ABC, 2007. 136 lpp.
Brandt S. Data analysis: statistical and computational methods for scientists and engineers. 4th edition. Cham: Springer, 2014. 523 p.
Weiterfuhrende Literatur
Mac Berthouex P., Brown L.C. Statistics for environmental engineers. Boca Raton etc.: Lewis Publishers, 2002. 489 p.
Shaw P. J. A. Multivariate Statistics for the Environmental Science. Wiley, 2009. 244 p.
Helsel D.R., Hirsch R.M. Statistical Methods in Water Resources Techniques of Water Resources Investigations. U.S.: Geological Survey, 2002. 522 p.
Gilbert R.O. Statistical Methods for Environmental Pollution Monitoring. John Wiley&Sons, 1987. 336 p.
Gibbons R.D., Coleman D.E. Statistical methods for detection and quantification of environmental Contamination. John Wiley&Sons, 2001. 384 p.
Chun Y., Griffith Daniel A. Spatial Statistics and Geostatistics. SAGE, 2013. 200 p
Schabenberger, O., Gotway, C. Statistical Methods for Spatial Data Analysis. Chapman &Hall/CRC, 2005. 512 p.
Zur LektŅre vorgeschlagene Zeitschriften
1. Official Statistics Portal [online] Available: https://stat.gov.lv/en
2. Eurostat [online] Available: https://ec.europa.eu/eurostat/web/main
3. FAOSTAT [online] Available: https://www.fao.org/faostat/en/#home
4. Science direct [online] Available: https://www.sciencedirect.com/
5. Scopus [online] Available: https://www.scopus.com/home.uri