The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Kullback-Leibler information as a basis for strong inference in ecological studies
Open accessAbstract
We describe an information-theoretic paradigm for analysis of ecological data, based on Kullback–Leibler information, that is an extension of likelihood theory and avoids the pitfalls of null hypothesis testing. Information-theoretic approaches emphasise a deliberate focus on the a priori science in developing a set of multiple working hypotheses or models. Simple methods then allow these hypotheses (models) to be ranked from best to worst and scaled to reflect a strength of evidence using the likelihood of each model ( g i), given the data and the models in the set (i.e. L ( g i | data )). In addition, a variance component due to model-selection uncertainty is included in estimates of precision. There are many cases where formal inference can be based on all the models in the a priori set and this multi-model inference represents a powerful, new approach to valid inference. Finally, we strongly recommend inferences based on a priori considerations be carefully separated from those resulting from some form of data dredging. An example is given for questions related to age- and sex-dependent rates of tag loss in elephant seals ( Mirounga leonina ).
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Self-citationGelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Information theory and statistical mechanics
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.106.620 · Cited by 12,931
Hoeting, J. A., Madigan, D., Raftery, A. E., & Volinsky, C. T. (1999) · Statistical Science · doi:10.1214/ss/1009212519 · Cited by 4,118 · cited 1×
“This approach has both practical and philosophical advantages (see Hoeting et al. 1999 for a discussion of model averaging in a Bayesian context).”
BackgroundQuasi-likelihood functions, generalized linear models, and the gauss-newton method
Wedderburn, R. W. M. (1974) · Biometrika · doi:10.2307/2334725 · Cited by 2,122
Quasi-likelihood functions, generalized linear models, and the Gauss—Newton method
WEDDERBURN, R. W. M. (1974) · Biometrika · doi:10.1093/biomet/61.3.439 · Cited by 2,122
Cited by
Burnham, K. P., Anderson, D. R., & Huyvaert, K. P. (2011) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-010-1029-6 · Cited by 4,104
Self-citationAIC model selection using Akaike weights
Wagenmakers, E.-J., & Farrell, S. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03206482 · Cited by 2,684
Primary forests are irreplaceable for sustaining tropical biodiversity
Gibson, L., Lee, T. M., Koh, L. P., Brook, B. W., Gardner, T. A., Barlow, J., Peres, C. A., Bradshaw, C. J. A., Laurance, W. F., Lovejoy, T. E., et al. (2011) · Nature · doi:10.1038/nature10425 · Cited by 2,147
Soil carbon saturation: concept, evidence and evaluation
Stewart, C. E., Paustian, K., Conant, R. T., Plante, A. F., & Six, J. (2007) · Biogeochemistry · doi:10.1007/s10533-007-9140-0 · Cited by 911
Avian Extinction and Mammalian Introductions on Oceanic Islands
Blackburn, T. M., Cassey, P., Duncan, R. P., Evans, K. L., & Gaston, K. J. (2004) · Science · doi:10.1126/science.1101617 · Cited by 894
Metadata
- Authors
- Burnham, K. P., & Anderson, D. R.
- Venue
- Wildlife Research
- Publisher
- CSIRO Publishing
- Published
- 2001-05-24
- Volume
- 28
- Issue
- 2
- Pages
- 111-119
- ISSN
- 1035-3712 (ISSN-L)
- 1448-5494
- OpenAlex
- W2146198038
- Cited by
- 926
- References
- 8
- FWCI
- 20.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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