Titlebook: Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling; Y. Z. Ma Book 2019 Springer Nature Switz

传授知识

hallow

谷物

烤架

Regression-Based Predictive Analyticsgression. This chapter presents both basic and advanced regression methods, including standard least square linear regression, ridge regression and principal component regression. Pitfalls in using these methods for geoscience applications are also discussed.

纵欲

Congruous

Geostatistical Estimation Methods: Krigingkriging estimation can skip the advanced kriging methods, but simple kriging is necessary for understanding stochastic simulation. Similarly, collocated cokriging will be useful for understanding collocated cosimulation. Stochastic (co)simulation is presented in Chap. ..

AVOID

rule is known. Examples and applications arise from all branches of science and technology, like physics, chemistry, economics, ecology, communications, biology, computer science, or meteorology, to mention just a few. These systems have in common the fact that each possible state may be described b

predict

公理

Y. Z. Macondensed matter systems.Outlines the first proposal for expThis work addresses dynamical aspects of quantum criticality in two space dimensions. It probes two energy scales: the amplitude (Higgs) mode, which describes fluctuations of the order parameter amplitude in the broken symmetry phase and th

Paleontology

Y. Z. Macondensed matter systems.Outlines the first proposal for expThis work addresses dynamical aspects of quantum criticality in two space dimensions. It probes two energy scales: the amplitude (Higgs) mode, which describes fluctuations of the order parameter amplitude in the broken symmetry phase and th