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

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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach - Burnham, Kenneth P., and Anderson, David R.
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We wrote this book to introduce graduate students and research workers in various scienti?c disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a "best" model and a ranking and weighting of the remaining models in a pre-de?ned set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (m- ...

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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach 2010, Springer-Verlag New York Inc., New York, NY

ISBN-13: 9781441929730

Softcover reprint of the original 2nd edition 2002

Paperback