The chi-square plot; a tool for multivariate outlier recognition

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doi: 10.1016/0375-6742(89)90071-X
Authors:Garrett, Robert G.
Author Affiliations:Primary:
Geol. Surv. Can., Miner. Resour. Div., Ottawa, ON, Canada
Volume Title:Geochemical exploration 1987
Volume Authors:Jenness, Stuart E., editor
Source:Journal of Geochemical Exploration, 32(1-3), p.319-341; 12th international geochemical exploration symposium and the 4th symposium on methods of geochemical prospecting, Orleans, France, Apr. 23-26, 1987, edited by Stuart E. Jenness. Publisher: Elsevier, Amsterdam-New York, International. ISSN: 0375-6742
Publication Date:1989
Note:In English. 28 refs.; illus. incl. 3 tables
Summary:In large multi-element regional surveys statistically derived threshold levels have led to the generation of inordinately large lists of geochemical samples for detailed study. In addition all the anomalies may not be found and sometimes 'background' may be falsely identified as potential anomaly when the univariate analysis of data is used to identify outliers and anomalies. The chi-square plotting of multi-variate probability plots is a useful tool for the exploration geochemist. It is proposed that such plots and implementation of them described here are a useful adjunct to the tools geochemical data analysts have at their disposal. [R.E.S.]
Subjects:Geochemical methods; Mineral exploration; Multivariate analysis; Probability; Statistical analysis; Stream sediments; Europe; Norway; Scandinavia; Western Europe; Chi-square plot
Abstract Numbers:90M/0797
Record ID:1989051468
Copyright Information:GeoRef, Copyright 2019 American Geosciences Institute. Reference includes data from Mineralogical Abstracts, United Kingdom, Twickenham, United Kingdom
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