Motivated Metamodels : Synthesis of Cause-Effect Reasoning and Statistical Metamodeling

Synthesis of Cause-Effect Reasoning and Statistical Metamodeling

By: James H. Bigelow, Paul K. Davis

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Paperback | 1 March 2003

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81 Pages

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27.8 x 21.6 x 0.5

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A metamodel is a relatively simple model that approximates the behavior of one that is more complex. This volume describes how to improve metamodels by using even modest phenomenological knowledge to help structure them, creating so-called "motivated metamodels." The authors contribute to the emerging understanding of multiresolution, multiperspective modeling, combining the virtues of statistical methodology with the benefits of more theory-based work.

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