Anomaly Recognition In Exploration Geochemistry Through A Statistical Analysis Of Multivariate Data

The American Institute of Mining, Metallurgical, and Petroleum Engineers
George S. Koch
Organization:
The American Institute of Mining, Metallurgical, and Petroleum Engineers
Pages:
10
File Size:
240 KB
Publication Date:
Jan 1, 1977

Abstract

We have devised a multivariate statistical model useful to interpret data from exploration geochemistry and also pertinent for the analysis of data from petrology, paleontology, and other geological fields. The model is applied to several simulated cases in order to compare anomaly recognition by inspection and by quadratic regression.
Citation

APA: George S. Koch  (1977)  Anomaly Recognition In Exploration Geochemistry Through A Statistical Analysis Of Multivariate Data

MLA: George S. Koch Anomaly Recognition In Exploration Geochemistry Through A Statistical Analysis Of Multivariate Data. The American Institute of Mining, Metallurgical, and Petroleum Engineers, 1977.

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