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Statuss(Aktīvs) Izdruka Arhīvs(0) Studiju plāns Vecais plāns Kursu katalogs Vēsture

Kurstitel
Kurs-Code MateD001
Kreditpunkte (ECTS) 3
Stundenzahl insgesamt (im Auditorium) 81
Vorlesungen (Stundenzahl) 16
Stundenzahl fŅr Seminare und praktische Arbeitsaufträge 16
Selbststandige Arbeit des Studenten (Stunden) 49
Bestätigt am (Datum) 04/09/2019
 
Kurs ausgearbeitet von (Lehrkraft)
, Līga Paura
, Irina Arhipova

Vorkenntnisse
MateD005,
Zur einfŅhrenden LektŅre empfohlen
1.Are Hugo Pripp. (2013) Statistics in food science and nutrition. New York : Springer, 66 pp.
2.François Chollet & J.J. Allaire (2018) Deep learning with R. Shelter Island, NY: Manning Publications Co., 335 pp.
3.James Gareth, at al. (2017) An introduction to statistical learning: with applications in R. New York : Springer, 426 pp.
4.Joseph F. Hair, Jr., William C. Black, Barry J. Babin, Rolph E. Anderson (2014) Multivariate data analysis. Harlow, Essex: Pearson, 734 pp.
5.Robert I. Kabacoff (2015) R in action: data analysis and graphics with R. Shelter Island, NY: Manning, 579 pp.
6.Siegmund Brandt. (2014) Data analysis: statistical and computational methods for scientists and engineer. Springer, 523 pp.
Weiterfuhrende Literatur
1.John H. Schuenemeyer, Lawrence J. Drew. (2011). Statistics for Earth and Environmental Scientists. Hoboken, New Jersey: John Wiley & Sons, 407 pp.
2.Joseph F. Hair [et al.] (2010) Multivariate data analysis: a global perspective. Upper Saddle River [etc.]: Pearson, 800 pp.
3.Klaus Backhaus, Bernd Erichson, Wulff Plinke, Rolf Weiber (2000) Multivariate Analysemethoden: eine anwendungsorientierte Einführung. Berlin etc.: Springer, 661 pp.
4.Massimiliano Bonamente. (2013) Statistics and analysis of scientific data. New York: Springer, 301 pp.
5.Nathabandu T. Kottegoda, Renzo Rosso (2008) Applied statistics for civil and environmental engineers. Oxford; Malden, MA: Blackwell Publishing, 718 pp.
Zur LektŅre vorgeschlagene Zeitschriften
1.Statistical Analysis and Data Mining.Hoboken, Wiley-Blackwell. ISSN:1932-1864. E-ISSN:1932-1872
2.Electronic Journal of Applied Statistical Analysis. ESE - Salento University Publishing. ISSN:2070-5948