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Titlebook: Geostatistical Simulation; Models and Algorithm Christian Lantuéjoul Textbook 2002 Springer-Verlag Berlin Heidelberg 2002 Conditional Simul

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Marek Jackiewicz,Eugeniusz Kuriataeternally; they have to be stopped after a finite number of iterations. Of course there is no reason for the distribution thus simulated to be identical to the limit distribution, and the number of iterations to carry out must be chosen so that their difference lies below a prescribed level of accep
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Hideki Taniguchi,Keiko Ushigomearacter of their constitutive elements, point processes can exhibit rather complicated structures (cf. Figure 11.1) . Secondly, they can be used for modelling a wide range of natural phenomena (trees in a forest, precious stone deposits, earthquake epicentres, stars in galaxies, populations in settl
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Vladimir Herdt,Daniel Große,Rolf Drechslerary. Depending on the application considered, a tessellation can be regarded either as a partition of space or as a random function (by assigning each cell a value), or even as a population of cells. Of course, different interpretations lead to different statistical characterizations. A brief descri
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A. Manrique,K. Manrique,J. Nakahodont objects are combined. In this chapter, three combination rules are successively considered, namely the addition, the maximum and the superposition, which give rise respectively to the ., the . and the ..
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