Cited by 1,165Statistical Methods and InferenceStatistical Methods and ApplicationsStatistical Methods and Bayesian Inference

Model selection for ecologists: the worldviews of AIC and BIC

Aho, Ken, Derryberry, DeWayne, Peterson, Teri·2014·Ecology

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Crossref · 10.1890/13-1452.1

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51 of 51 references verified0 citation errors · 0 not checkable

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  • Lower values of BIC, CAIC, and classification error indicate a better model fit.

    “Lower values of BIC, CAIC, and classification error indicate a better model fit (Aho et al., 2014).”

    From A systematic review of peer assessment design elements (2023) · cites this paper as Aho et al., 2014

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Authors
Aho, K., Derryberry, D., & Peterson, T.
Affiliations
Idaho State University (US)
Corresponding author
Aho, Ken
Venue
Ecology
Publisher
Wiley
Published
2014-03
Volume
95
Issue
3
Pages
631-636
ISSN
  • 0012-9658 (ISSN-L)
  • 1939-9170
OpenAlex
W1966827292
Cited by
1,165
References
51
Citations by year
2026: 59 · 2025: 105 · 2024: 109 · 2023: 94 · 2022: 133 · 2021: 151 · 2020: 123 · 2019: 97 · 2018: 115 · 2017: 79 · 2016: 62 · 2015: 26 · 2014: 7 · 2013: 2
FWCI
61.22
Type
journal article
Language
en
Open access
closed
Locations
  • Ecology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
model selection, Akaike information criterion, Bayesian information criterion, model selection criteria, ecological model
MeSH terms
Data Interpretation, Statistical, Research Design, Models, Statistical

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