Model Selection and Multi-Model Inference

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Biology and other natural sciences
Model Selection and Multi-Model...

Model Selection and Multi-Model Inference

Name: Model Selection and Multi-Model Inference
ISBN: 9780387953649

Kenneth P. Burnham, David Anderson

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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 various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

Категории:

Biology and other natural sciences

Година:

2002

Издание:

2nd

Издателство:

Springer

Език:

english

Страници:

496