Cited by 41,495Statistical Methods and InferenceStatistical Methods and Bayesian InferenceStatistical Methods and Applications

Model selection and multimodel inference: a practical information-theoretic approach.

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Guthery, Fred S., Burnham, Kenneth P., Anderson, David R.·2003·The Journal of Wildlife Management

Abstract

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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Crossref · 10.2307/3802723

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  • The number of geckos on a tree was principally a function of the tree's size and its proximity to the nearest termite mound.

    “Ranking these models using the sample-size-corrected Akaike Information Criterion (AICc) [29] revealed that the number of geckos on a tree was principally a function of the tree's size (estimated surface area of the main stem) and its proximity to the nearest termite mound (Table S1).”

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Authors
Guthery, F. S., Burnham, K. P., & Anderson, D. R.
Venue
The Journal of Wildlife Management
Publisher
JSTOR
Published
2003-07
Volume
67
Issue
3
Pages
655
ISSN
0022-541X (ISSN-L)
OpenAlex
W2009435671
Cited by
41,495
References
0
Citations by year
2026: 22 · 2025: 843 · 2024: 1223 · 2023: 1355 · 2022: 1673 · 2021: 2532 · 2020: 2605 · 2019: 2743 · 2018: 2552 · 2017: 2708 · 2016: 2821 · 2015: 2984 · 2014: 2929 · 2013: 2592 · 2012: 2272
FWCI
648.08
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
Journal of Wildlife Management (publishedVersion, cc-by)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
model selection, multi-model inference, information theory, likelihood theory, Akaike information criterion, AICc, model averaging

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