Model selection for ecologists: the worldviews of AIC and BIC
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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
- ORCID
- 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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