Model Selection and Multi-model Inference
Burnham, Kenneth P.; Anderson, David R.
ISBN 10: 0387953647 ISBN 13: 9780387953649
Published by Springer-Verlag New York Inc., 2002
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A comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. It 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. Num Pages: 488 pages, 51 black & white tables, biography. BIC Classification: PBWH; PDE; TBJ. Category: (P) Professional & Vocational. Dimension: 239 x 163 x 34. Weight in Grams: 934. . 2002. 2nd ed. 2002. Corr. 3rd printing 2003. Hardback. . . . . Books ship from the US and Ireland. Seller Inventory # V9780387953649
Synopsis:
We wrote this book to introduce graduate students and research workers in various scienti?c 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-de?ned set. Traditional statistical inference can then be based on this selected best model. 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. First, we have tried to improve the presentation of the material. Boxes now highlight ess- tial expressions and points. Some reorganization has been done to improve the ?ow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. S- ond, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but p- ticularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the ?rst e- tion.
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Bibliographic Details
Title: Model Selection and Multi-model Inference
Publisher: Springer-Verlag New York Inc.
Publication Date: 2002
Binding: Hardcover
Condition: New
Edition: 2nd Edition
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Springer Publishing Company, New York, 2002
ISBN 10: 0387953647
ISBN 13: 9780387953649
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