Model Selection and Multimodel Inference: A Practical

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

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.
Country USA
Brand Springer
Manufacturer Springer
Binding Hardcover
ItemPartNumber 08936646
Color Multicolor
UnitCount 1
Format Illustrated
EANs 9780387953649
ReleaseDate 0000-00-00

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