Model selection and multimodel inference a practical information theoretic approach authors burnham kenneth p anderson david a basis for model selection and inference pages 49 97 preview buy chapter 2595 eur basic use of the information theoretic approach pages 98 148 preview buy chapter 2595 eur formal inference from more than one model multimodel inference mmi pages 149 . The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set multi model inference a philosophy is presented for model based data analysis and a general strategy outlined for the analysis of empirical data the book invites increased attention on a priori science hypotheses and modeling kullback leibler information represents a fundamental quantity in science and is hirotugu akaikes basis for model . We wrote this book to introduce graduate students and research workers in various scientic disciplines to the use of information theoretic approaches in the analysis of empirical data these methods allow the data based selection of a best model and a ranking and weighting of the remaining models in a pre dened set traditional statistical inference can then be based on this selected . 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. Model selection and inference a practical information theoretic approach authors burnham kenneth p anderson david r show next edition free preview buy this book ebook 6740 eur price for spain gross buy ebook isbn 978 1 4757 2917 7 digitally watermarked drm free included format pdf ebooks can be used on all reading devices immediate ebook download after purchase faq policy