Basic multivariate statistical methods for environmental monitoring data mining: introductory course for master students

• Autorzy: Simeonov Vasil

Identyfikatory

DOI

10.2478/cdem-2020-0002

• Języki publikacji: EN

Abstrakty

EN

The present introductory course of lectures summarizes the principles and algorithms of several widely used multivariate statistical methods: cluster analysis, principal components analysis, principal components regression, N-way principal components analysis, partial least squares regression and self-organizing maps with respect to their possible application in intelligent analysis, classification, modelling and interpretation to environmental monitoring data. The target group of possible users is master program students (environmental chemistry, analytical chemistry, environmental modelling and risk assessment etc.).

Słowa kluczowe

EN

chemometrics; environmetrics; exploratory data analysis; EDA; master students course

PL

chemometria; środowisko; eksploracyjna analiza danych; EDA; kurs magisterski

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Chemistry-Didactics-Ecology-Metrology
• Rocznik: 2020
• Tom: R. 25, NR 1-2
• Strony: 35--56
• Opis fizyczny: Bibliogr. 17 poz., rys., tab.

Twórcy

autor

Simeonov Vasil

• Faculty of Chemistry and Pharmacy, University of Sofia “St. Kl. Okhridski”, 1164 Sofia, J. Bourchier Blvd. 1, Bulgaria

Bibliografia

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