Abstract
Multivariate analysis aims to understand and describe the relationships between an arbitrary number of variables. Earth scientists often deal with multivariate data sets such as microfossil assemblages, geochemical fingerprints of volcanic ash layers, or the clay mineral content of sedimentary sequences.
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Birks HJB, Gordon AD (1985) Numerical Methods in Quaternary Pollen Analysis. Academic Press, London
Brown CE (1998) Applied Multivariate Statistics in Geohydrology and Related Sciences. Springer, Berlin Heidelberg New York
Fisher RA (1936) The use of multiple measurements in taxonomic problems. Annals of Eugenics 7:179ā188
Hardle WK, Simar L (2012) Applied Multivariate Statistical Analysis. Springer, Berlin Heidelberg New York
Hermanns R, Trauth MH, McWilliams M, Strecker M (2000) Tephrochronologic Constraints on Temporal Distribution of Large Landslides in NW-Argentina. Journal of Geology 108:35ā52
Hotelling H (1931) Analysis of a Complex of Statistical Variables with Principal Components. Journal of Educational Psychology 24(6):417ā441
Hyvarinen A (1999) Fast and Robust Fixed-Point Algorithms for Independent Component Analysis. IEEE Transactions on Neural Networks 10(3):626ā634
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Olorunfemi MO (1985) Statistical Relationships Among Some Formation Parameters for Sherwood Sandstone, England. Mathematical Geology 17:845ā852
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Pearson K (1901) On lines and planes of closest fit to a system of points in space. Philosophical Magazine and Journal of Science 6(2):559ā572
Reyment RA, Savazzi E (1999) Aspects of Multivariate Statistical Analysis in Geology. Elsevier Science, Amsterdam
Streckeisen A (1976) To each plutonic rock its proper name. Earth-Science Reviews 12:1ā33
Swan ARH, Sandilands M (1995) Introduction to Geological Data Analysis. Blackwell Sciences, Oxford
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Trauth, M.H. (2015). Multivariate Statistics. In: MATLABĀ® Recipes for Earth Sciences. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46244-7_9
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DOI: https://doi.org/10.1007/978-3-662-46244-7_9
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