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Item Details
Title: MODEL SELECTION AND MULTIMODEL INFERENCE
A PRACTICAL INFORMATION-THEORETIC APPROACH
By: Kenneth P. Burnham, David R. Anderson
Format: Hardback

List price: £149.99
Our price: £134.99
Discount:
10% off
You save: £15.00
ISBN 10: 0387953647
ISBN 13: 9780387953649
Availability: Usually dispatched within 3-5 days.
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Stock: Currently 1item in stock
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 28 September, 2002
Edition: 2nd ed. 2002. Corr. 3rd printing 2003
Pages: 488
Description: 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.
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.
Illustrations: 51 Tables, black and white; XXVI, 488 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Non-returnable
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