Titlebook: Handbook of Mathematical Geosciences; Fifty Years of IAMG B.S. Daya Sagar,Qiuming Cheng,Frits Agterberg Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if

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Neutropenia

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Kriging, Splines, Conditional Simulation, Bayesian Inversion and Ensemble Kalman Filteringassimilation in the petroleum industry. The formal relationship between point Kriging and splines or radial basis functions is first presented. The generalizations of Kriging to the estimation of average values or values affected by measurement errors are also addressed. Two algorithms are often use

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A Statistical Commentary on Mineral Prospectivity Analysisgression, Poisson point process modelling, maximum entropy, monotone regression, nonparametric curve estimation, recursive partitioning, and ROC (Receiver Operating Characteristic) curves. We discuss the use and interpretation of these methods, the relationships between them, their strengths and wea

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tendinitis

Properties of Sums of Geological Random Variablesof large sets of geologic random variables data we need methods that refocus and streamline expert geological judgment inputs along with analytical methods for modeling dependencies that go beyond pairwise correlation and its cousins. Some possibilities are reviewed.

Hemiparesis

A Statistical Analysis of the Jacobian in Retrievals of Satellite Datamost always energies measured in selected parts of the electro-magnetic spectrum. That is, the geophysical variable of interest is only observed indirectly; a forward model relates the energies to the variable(s) of interest and other elements of the state. The first derivative of that forward model

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All Realizations All the Time to the training and checking steps required for reliable application. Managing multiple realizations, however, remains daunting and unclear for many: (1) the non-uniqueness of multiple realizations is disturbing; (2) many calculations including mine planning algorithms are aimed at a single block m