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Model Selection and Multi-Model Inference

A Practical Information-Theoretic Approach

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Hardback
04 December 2003
$374.42
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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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    Product Details
    ISBN-13
    9780387953649
    Author
    Kenneth P. Burnham
    Publisher
    Springer Nature B.V.
    Published
    04 December 2003
    Format
    Hardback

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    $374.42
    Ships in 3-5 business days

    Delivery estimate

    Hurry up! Current stock:

    Model Selection and Multi-Model Inference

    $374.42

    Description

    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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