Model selection and multimodel inference : a practical information-theoretic approach
Kenneth P. Burnham (Author), David Raymond Anderson (Author)
This book is a 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
Print Book, English, 2010
Springer, New York, 2010