Discussion – Grade Estimation and Its Precision in Mineral Resources: The Jackknife Approach – Mining Engineering, Vol.48, No.2, pp.84-88 – Adisoma, G. S. and Hester, M. G.

Society for Mining, Metallurgy & Exploration
D. G. Krige
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Society for Mining, Metallurgy & Exploration
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Publication Date:
Jan 1, 1996

Abstract

I read the paper “The jackknife approach” with interest. There appears to be a widespread misunderstanding of the kriging variance as a measure of the error variance of the kriged grade estimate of an ore block. Virtually all mineral deposits display skew frequency distributions and are subject to the well-known proportional effect. Thus, it is usual to find in an ore body, when subdivided a really into subpopulations, that the variances of the grades (or the total sills of the variograms) for the subpopulations will be correlated with the corresponding mean grades (usually linearly with the squares of the mean grades). Thus, the variogram will be stationary.
Citation

APA: D. G. Krige  (1996)  Discussion – Grade Estimation and Its Precision in Mineral Resources: The Jackknife Approach – Mining Engineering, Vol.48, No.2, pp.84-88 – Adisoma, G. S. and Hester, M. G.

MLA: D. G. Krige Discussion – Grade Estimation and Its Precision in Mineral Resources: The Jackknife Approach – Mining Engineering, Vol.48, No.2, pp.84-88 – Adisoma, G. S. and Hester, M. G.. Society for Mining, Metallurgy & Exploration, 1996.

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