Titlebook: Geomathematics: Theoretical Foundations, Applications and Future Developments; Frits Agterberg Book 2014 Springer International Publishing

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https://doi.org/10.1007/978-3-658-34563-1l’s equation (.. Agterberg 1974) for linear relationship between two variables that are both subject to error can be regarded as a special case of MLFR..Multiple regression can be used for curve-fitting if the relationship between two variables is not linear but other explanatory variables have to b

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https://doi.org/10.1007/978-3-658-25298-4ntly used geostatistical semivariograms including the spherical and exponential models allow for a nugget effect at their origin representing non-zero variance and assume asymptotic convergence to a constant value representing regional variance at large sampling intervals exceeding a range. However,

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Wolf J. Schünemann,Stefan Steigerf the first computer-based methods widely applied in geophysics, stratigraphy and physical geography in the 1960s. Initially, it was assumed that the residuals from a best-fitting trend surface should be independent and normally distributed but Watson (J Int Assoc Math Geol 3:215–226, 1971) clarifie

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https://doi.org/10.1007/978-3-662-67914-2this chapter. Initially, ranking is illustrated by application to a simple, artificial dataset. Scaling is explained as a refinement of ranking. Implications of techniques of sampling stratigraphic sections are discussed. RASC probable positions with error bars can be determined in different section

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