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Model Selection and Multimodel Inference

Name: Model Selection and Multimodel Inference
Brand: Springer-Verlag New York Inc.
SKU: 01999174
Price: 74094 HUF
Availability: InStock
Author: Kenneth P. Burnham
ISBN: 9781441929730

A Practical Information-Theoretic Approach

Kenneth P. Burnham

David R. Anderson

Language

English

Book Paperback

Libristo code: 01999174

Publishers Springer-Verlag New York Inc., December 2010

A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the... Full description

Libristo code: 01999174

504 b

74 094 Ft

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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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About the book

Full name Model Selection and Multimodel Inference

Author Kenneth P. Burnham, David R. Anderson

Language

English

Binding Book - Paperback

Date of issue 2010

Number of pages 488

EAN 9781441929730

ISBN 1441929738

Libristo code 01999174

Publishers Springer-Verlag New York Inc.

Weight 742

Dimensions 157 x 232 x 27

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