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. However we now emphasize that information theoretic approaches allow formal inference to be based on more than one model m timodel inference such procedures lead to more robust inferences in many cases and we advocate these approaches throughout the book the second edition was prepared with three goals in mind. Model selection and multimodel inference a practical information theoretic approach kenneth p burnham david r anderson springer science business media may 28 2007 mathematics 488 pages. Bibliography includes bibliographical references p 455 484 and index contents introduction information and likelihood theory a basis for model selection and inference basic use of the information theoretic approach formal inference from more than one model multi model inference mmi monte carlo insights and extended examples statistical theory and numerical results summary. Author burnham kenneth p title model selection and multimodel inference a practical information theoretic approach kenneth p burnham david r anderson