The book "Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Second Edition" by K.P. Burnham and D.R. Anderson aims to introduce graduate students and researchers to information-theoretic methods for analyzing empirical data. These methods enable the selection of a "best" model and ranking of other models, allowing for formal inference based on multiple models (multimodel inference). The second edition has been updated to improve the presentation, add new chapters, and emphasize multimodel inference. It also includes new technical material and over 100 additional references. The book is available in print and eBook formats, with pricing details provided for both.The book "Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Second Edition" by K.P. Burnham and D.R. Anderson aims to introduce graduate students and researchers to information-theoretic methods for analyzing empirical data. These methods enable the selection of a "best" model and ranking of other models, allowing for formal inference based on multiple models (multimodel inference). The second edition has been updated to improve the presentation, add new chapters, and emphasize multimodel inference. It also includes new technical material and over 100 additional references. The book is available in print and eBook formats, with pricing details provided for both.