1995
DOI: 10.2113/gsecongeo.90.5.1261
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A least-squares approach to mass transport calculations using the isocon method

Abstract: A statistically rigorous approach based on the isocon method (Grant, 1986) to evaluate mass transport is presented. Chemical analyses of multiple samples of unaltered (parent) and altered rock are used to calculate the average oxide or element concentration and its standard deviation for each rock population. In a typical application, the uncertainties in element concentration associated with the lack of homogeneity in each population outweigh the analytical uncertainty. An efficient algorithm is presented to … Show more

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Cited by 97 publications
(78 citation statements)
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“…It is argued by Grant (1986) that such scaling is not only mathematically valid but it also gives due weight to the elements whose concentration magnitude is low. However, Baumgartner and Olsen (1995) argued and illustrated using a hypothetical example that how scaling can bias the slope of the ISOCON. Inspite of this, Grant (2005) in his recent review article out-right rejected this mathematically proved fact giving an untenable argument that scaling is irrelevant to ISOCON slope because it is (C i s /C i p ) a ratio and the scale factors would cancel out.…”
Section: Ambiguities In Isocon Resultsmentioning
confidence: 99%
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“…It is argued by Grant (1986) that such scaling is not only mathematically valid but it also gives due weight to the elements whose concentration magnitude is low. However, Baumgartner and Olsen (1995) argued and illustrated using a hypothetical example that how scaling can bias the slope of the ISOCON. Inspite of this, Grant (2005) in his recent review article out-right rejected this mathematically proved fact giving an untenable argument that scaling is irrelevant to ISOCON slope because it is (C i s /C i p ) a ratio and the scale factors would cancel out.…”
Section: Ambiguities In Isocon Resultsmentioning
confidence: 99%
“…When a data point of an element is scaled forward by multiplying with an integer, the contribution of the element increases because the squared residue also becomes large. This was termed by Baumgartner and Olsen (1995) as torque exerted by data points on the visually or mathematically determined best fit ISOCON. This would mean that the best fit regression line shall become biased towards the elements that plot away from the origin compared to those near the origin.…”
Section: Ambiguities In Isocon Resultsmentioning
confidence: 99%
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