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Model Selection Inference Practical by Burnham Kenneth (35 results)
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Condition: Acceptable. SHIPS FAST. RESCUED + REPAIRED. Features a small coffee mishap, plus a reinforced binding, secured cover, and light annotations or highlighting-a durable, fully readable working copy brought back to life at a great value by our Book Sustainability Project. No access codes or CDs.
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference : A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multi-model Inference: A Practical Information-theoretic Approach
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference : A Practical Information Theoretic Approach
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Model Selection and Multi-model Inference : A Practical Information-theoretic Approach
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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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Model Selection and Multimodel Inference : A Practical Information Theoretic Approach
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Model Selection and Multi-model Inference : A Practical Information-theoretic Approach
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Model Selection and Multi-Model Inference : A Practical Information-Theoretic Approach
Language: English
Published by Springer New York Jul 2002, 2002
ISBN 10: 0387953647 ISBN 13: 9780387953649
Buch. Condition: Neu. Neuware - 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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Taschenbuch. Condition: Neu. Model Selection and Multimodel Inference | A Practical Information-Theoretic Approach | Kenneth P. Burnham (u. a.) | Taschenbuch | xxvi | Englisch | 2010 | Springer | EAN 9781441929730 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
