Mark A. F. Gillingham
Nature and Landscape Conservation · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 23 citations into it; #5,313 of 6,941 by trust here, #5,720 by citations
- Ecological Modeling — 17 citations into it; #1,903 of 2,530 by trust here, #2,101 by citations
- Ecology, Evolution, Behavior and Systematics — 16 citations into it
- Statistics and Probability — 15 citations into it
- Artificial Intelligence — 7 citations into it
- Ecology — 7 citations into it
Whom Mark A. F. Gillingham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- K. Burnham
- S. Richards
- David R. Anderson
- Shinichi Nakagawa
- Matthew Symonds
- H. Schielzeth
- Brian S. Cade
- Edward I. George
- N. Dochtermann
- Philip Stephens
Who trusts Mark A. F. Gillingham overall
Papers from Mark A. F. Gillingham's perspective
Ordered by how strongly the researchers Mark A. F. Gillingham trusts endorse each paper. Same corpus, a different order for every researcher.
- Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
- Information Theory and an Extension of the Maximum Likelihood Principle
- Model selection and multimodel inference : a practical information-theoretic approach
- Information theory and hypothesis testing: a call for pluralism
- Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error (Behavioral Ecology and Sociobiology)
- Understanding AIC and BIC in Model Selection
- Information-theoretic approaches to statistical analysis in behavioural ecology: an introduction (Behavioral Ecology and Sociobiology)
- Model selection in ecology and evolution. (Trends in Ecology & Evolution)
- TESTING ECOLOGICAL THEORY USING THE INFORMATION‐THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTS
- Effect size, confidence interval and statistical significance: a practical guide for biologists (Biological Reviews of The Cambridge Philosophical Society)