Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

Burnham, Kenneth P.; Anderson, David R.

Published by Springer, 2013
ISBN 10: 1441929738 / ISBN 13: 9781441929730
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Synopsis: 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. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.

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Title: Model Selection and Multimodel Inference: A ...
Publisher: Springer
Publication Date: 2013
Binding: Paperback
Book Condition: Used: Good

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MODEL SELECTION AND MULTIMODEL INFERENCE. A PRACTICAL INFORMATION-THEORETIC APPROACH -
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Kenneth P. Burnham, David R. Anderson
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Book Description Springer-Verlag New York Inc., United States, 2010. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****.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. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data. Softcover reprint of the original 2nd ed. 2002. Bookseller Inventory # AAV9781441929730

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Book Description Springer-Verlag New York Inc., United States, 2010. Paperback. Book Condition: New. Language: English . Brand New Book ***** Print on Demand *****. 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. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data. Softcover reprint of the original 2nd ed. 2002. Bookseller Inventory # AAV9781441929730

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Book Description Springer-Verlag New York Inc., United States, 2010. Paperback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data. Softcover reprint of the original 2nd ed. 2002. Bookseller Inventory # LIE9781441929730

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