Factor analysis applied to regional geochemical data: problems and possibilities
By Clemens Reimann, Peter Filzmoser, Robert G. Garrett. 2002
715 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Education, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/50a42b8146f08161b1036457fe0d241b6b898974
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Filzmoser
- Clemens Reimann
- Robert G. Garrett
- Karel Hron
- Matthias Templ
- Eva Fiserová
- Eric C. Grunsky
In Statistics and Probability
- Peter Filzmoser
- Clemens Reimann
- Robert G. Garrett
- Karel Hron
- Patrick L. Combettes
- Matthias Templ
- Robert Duchnowski
- Noureddine El Karoui
Citations in the corpus
- Multivariate outlier detection in exploration geochemistry (2005, background): “…many other multivariate methods) is based on the covariance matrix, a robust estimation of the covariance matrix will reduce the effect of (multivariate) outlying observations (Chork and Salminen, 1993; Reimann et al., 2002) and lead to a data interpretation centred on the dominant process(es).”