Abstract
All krigings are linked to the variance characteristic for spread of errors. The mean absolute deviation (mAD) characteristic leads to median and other quantile-type estimators. The relationships among these criteria and their impact on the corresponding estimators is discussed.
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References
David, M. (1977) — “Geostatistical ore reserve estimation”, Elsevier Publ., New York, 364 p.
Tukey, J. (1977) — “Exploratory Data Analysis” Addison and Wesley Publ., Reading, Mass., 488 p.
Jones, T. A. (1983) — “Problems in using Geostatistics for Petroleum applications”, Proceed, of the 2nd NATO ASI “Geostat Tahoe”, Sept. 1983, in this volume, p. 635.
Journel, A. G. (1983) — “The place of non-parametric Geostatistics”, ibid.
Sullivan, J. (1983)- “Probability Kriging - Theory and Practice”, ibid.
Verly, G. (1983) — “The block distribution given a point multivariate-ф-normal distribution”, ibid.
Verly, G. (1983) — “The multigaussian approach and its applications to the estimation of local recoveries”, in Math. Geology, vol. 15, no. 2, pp. 263–290.
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© 1984 D. Reidel Publishing Company
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Journel, A.G. (1984). mAD and Conditional Quantile Estimators. In: Verly, G., David, M., Journel, A.G., Marechal, A. (eds) Geostatistics for Natural Resources Characterization. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3699-7_16
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DOI: https://doi.org/10.1007/978-94-009-3699-7_16
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