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

Fred S. Guthery; Kenneth P. Burnham; David Anderson · Journal of Wildlife Management · 2003

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Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary

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APA 7

Guthery, F. S, Burnham, K. P, & Anderson, D. (2003). Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. https://doi.org/10.2307/3802723

MLA

Guthery, Fred S, et al. "Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach." 2003. https://doi.org/10.2307/3802723.

Chicago

Guthery, Fred S, Kenneth P. Burnham, and David Anderson. 2003. "Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach.". https://doi.org/10.2307/3802723.

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Guthery, F. S, Burnham, K. P. and Anderson, D. 2003, Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach, Journal of Wildlife Management, available at: https://doi.org/10.2307/3802723 [Accessed 8 Aug. 2026].

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Title
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
Author / contributors
Fred S. Guthery; Kenneth P. Burnham; David Anderson
Publisher
Journal of Wildlife Management
Publication year
2003
Language
English

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