M. David
Ecology, Evolution, Behavior and Systematics · with Dechaume‐Moncharmont · 2014
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Ecology, Evolution, Behavior and Systematics — 10 citations into it
- Nature and Landscape Conservation — 10 citations into it; #5,311 of 6,941 by trust here, #5,887 by citations
- Statistics and Probability — 8 citations into it
- Ecological Modeling — 6 citations into it; #1,899 of 2,530 by trust here, #2,168 by citations
Whom M. David trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- S. Richards
- K. Burnham
- Edward I. George
- Shinichi Nakagawa
- David R. Anderson
- N. Dochtermann
- Matthew Symonds
- Alan Genz
Who trusts M. David overall
Papers from M. David's perspective
Ordered by how strongly the researchers M. David trusts endorse each paper. Same corpus, a different order for every researcher.
- Model selection and multimodel inference : a practical information-theoretic approach
- Understanding AIC and BIC in Model Selection
- Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction (Behavioral Ecology and Sociobiology)
- Effect size, confidence interval and statistical significance: a practical guide for biologists (Biological Reviews of The Cambridge Philosophical Society)
- TESTING ECOLOGICAL THEORY USING THE INFORMATION‐THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTS
- Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (Behavioral Ecology and Sociobiology)
- Dealing with overdispersed count data in applied ecology
- Model selection in ecology and evolution. (Trends in Ecology & Evolution)
- Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective (Behavioral Ecology and Sociobiology)
- A brief guide to model selection, multimodel inference and model averaging in behavioural ecology using Akaike’s information criterion (Behavioral Ecology and Sociobiology)