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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach

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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach - Burnham, Kenneth P, and Anderson, David R
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A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate ...

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Model Selection and Multi-Model Inference: A Practical Information-Theoretic Approach 2002, Springer, New York, NY

ISBN-13: 9780387953649

2nd 2002

Hardcover