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Setting up the General Methodology for Discrete Isofactorial Models

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Geostatistics

Part of the book series: Quantitative Geology and Geostatistics ((QGAG,volume 4))

Abstract

A general methodology for building change of support models for discrete variables has been proposed by Matheron (1984a). This methodology is based on discrete diffusion processes (i.e. birth and death processes). As the marginal distribution as well as the diffusion coefficients are arbitrary, the method is applicable to a wide range of phenomena, but the inference of the parameters is a challenging problem. This article describes some methods for overcoming this problem.

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References

  • CHOQUET, G. (1969) Lectures on Analysis, W.A. Benjamin, Reading.

    Google Scholar 

  • KARLIN, S. & Macgregor, J. (1959) Coincidence probabilities, Pacific Journal of Mathematics, 9, 1141–1164.

    Article  Google Scholar 

  • KLEINGELD, W.J. (1987) Geostatistics and the discrete particles, Doctorate Thesis, Ecole des Mines de Paris.

    Google Scholar 

  • LAJAUNIE, Ch. (1986) Estimation directe des paramêtres de diffusion. Centre de Géostatistique, Report N-25/86/G.

    Google Scholar 

  • LAJAUNIE, Ch. & Lantuejoul, Ch. (1986) Estimation des paramètres ponctuels des modèles isofactoriels discrets. Centre de Géostatistique, Report N-6/86/G.

    Google Scholar 

  • LAJAUNIE, Ch. & Lantuejoul, Ch. (1987) Mise en oeuvre de la méthodologie des modèles isofactoriels discrets. Centre de Géostatistique, Report N-22/87/G.

    Google Scholar 

  • LANTUEJOUL, Ch. (1986) Quelques remarques sur les facteurs de diffusion discret: une application de la positivité totale. Centre de Géostatistique, Report N-31/86/G.

    Google Scholar 

  • Matheron, G. (1981) Quatre familles discrètes. Centre de Géostatistique, Report N703.

    Google Scholar 

  • MATHERON, G. (1984a) Une méthodologie générale pour les modèles isofactoriels discrets. Sciences de la Terre, 21, 1–78, Annales de l’Ecole Supérieure de Géologie appliquée et de prospection minière,Nancy.

    Google Scholar 

  • MATHERON, G. (1984b) The selectivity of the distributions and “the second principle of geostatistics”. In VERLY, G. et al. (eds) Geostatistics for natural ressources characterization, 421–423, NATO ASI Series C, Vol 122, Reidel, Dordrecht.

    Google Scholar 

  • SICHEL, H.S. (1973) Statistical valuation of diamondiferous deposits. In Salamon, M.D.G. & Lancaster, F.H. (eds) Applications of Computers Methods in the Mineral Industry 17–25, the South African Institute of Mining and Metallurgy, Johannesburg.

    Google Scholar 

  • ZAUPA-REMACRE, A. (1984). L’estimation du récupérable local - Le conditionnement uniforme, Doctorate Thesis, Ecole des mines de Paris.

    Google Scholar 

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© 1989 Springer Science+Business Media Dordrecht

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Lajaunie, C., Lantuejoul, C. (1989). Setting up the General Methodology for Discrete Isofactorial Models. In: Armstrong, M. (eds) Geostatistics. Quantitative Geology and Geostatistics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-6844-9_24

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  • DOI: https://doi.org/10.1007/978-94-015-6844-9_24

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-015-6846-3

  • Online ISBN: 978-94-015-6844-9

  • eBook Packages: Springer Book Archive

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