Provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book introduces both Classical and Bayesian approaches to linear and nonlinear problems.
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Provides geoscience students and professionals with answers to common questions like how one can derive a physical model from a finite set of observations containing errors, and how one may determine the quality of such a model. This book introduces both Classical and Bayesian approaches to linear and nonlinear problems.
Read Less
