Titlebook: Mathematics of Planet Earth; Proceedings of the 1 Eulogio Pardo-Igúzquiza,Carolina Guardiola-Albert, Conference proceedings 2014 Springer-V

Inflamed

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Maximum Likelihood Inference of Spatial Covariance Parameters of Large Data Sets in Geosciences,a sets collected with modern geophysical techniques, exhaustive sampling campaigns or the increase of historical data like climatological data). One challenging problem for such large data in spatial statistics is in implementing the well- established method of maximum likelihood for the models base

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A Cross-Polar Modeling Approach to Hindcast Paleo-Arctic Mega Icebergs: A Storyboard,e present water depths are shallower than . Such erosion stems from thick outlet glaciers and massive ice shelf complexes. Cores and glacigenic landforms suggest that the largest ice shelf complex was confined to the Amerasian sector of the Arctic Ocean, roughly 135,000 years ago. We apply a peak ov

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青春期

Distributional Assumptions and Parametric Uncertainties in the Aggregation of Geologic Resources,e area of interest. Oil, gas, hydrates, mineral resources, and carbon dioxide storage units are typically estimated at the level of a pool, reservoir, field or deposit. Often these estimates are aggregated to a basin, region, and/or national level. The manner in which these probability distributions

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Modeling Extremal Dependence Using Copulas. Application to Rainfall Data,endence structure (the copula) and the marginal distributions. In the bivariate case, where is the bivariate cumulative distribution function, are the marginal cdfs and is the copula linking the marginals. When the marginal distributions are continuous the copula that links the marginal distribution

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