Model Selection and Inference: A Practical Information-Theoretic Approach

Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model selection and multimodel inference : a practical information-theoretic approach

Seller Inventory ING Ships with Tracking Number! Buy with confidence, excellent customer service!. Kenneth P. Burnham; David R.

Burnham ; David R. Publisher: Springer , This specific ISBN edition is currently not available. View all copies of this ISBN edition:.

Synopsis A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. Buy New Learn more about this copy.

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An array of examples are given to illustrate various technical issues. This is an applied book written primarily for biologists and statisticians using models for making inferences from empirical data. Research biologists working either in the field or in the laboratory will find simple methods that are likely to be useful in their investigations.

Applied statisticians will find the information theoretic methods presented here quite useful and a superior alternative, especially for observational studies. People interested in the empirical sciences will find this material useful as it offers an alternative to hypothesis testing and Bayesian approaches.

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Practical Use of the InformationTheoretic Approach. ModelSelection Uncertainty with Examples. Burnham , David R.