ENGLISH

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

By Kenneth P. Burnham , David R. Anderson

Book information

Publisher
Springer
Year
2004
ISBN
0387953647, 9780387953649
Language
english
Format
PDF
Filesize
5 MB (4763762 bytes)
Edition
2
Pages
488\515
Time added
2013-12-31 15:00:11

Description

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.

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