A protocol for conducting and presenting results of regression‐type analyses
667 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Ecological Modeling, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/6336de8a381680751ecbaa7078ab615db6f6c924
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- David Hodgson
- Maria Eugenia Correa-Cano
- Beth S Robinson
- Jacob C. Douma
- Richard Inger
- Lynda Donaldson
- David N. Fisher
- J. Evans
In Ecological Modeling
- Jacob C. Douma
- J. Weedon
- David Hodgson
- Maria Eugenia Correa-Cano
- Beth S Robinson
- Richard Inger
- Lynda Donaldson
- David N. Fisher
In Nature and Landscape Conservation
- Richard Inger
- David Hodgson
- Maria Eugenia Correa-Cano
- Beth S Robinson
- Lynda Donaldson
- David N. Fisher
- J. Evans
- Cecily E. D. Goodwin
Citations in the corpus
- Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regression (2019, methodology): “The steps to be taken to fit models to continuous proportions are similar as for any other type of regression analysis (Zuur & Ieno, 2016; Zuur et al., 2009).”
- A brief introduction to mixed effects modelling and multi-model inference in ecology (2018, methodology): “In recent years, the suite of statistical tools available to biologists and the complexity of biological data analyses have grown in tandem (Low-Decarie et al 2014; Zuur & Ieno 2016; Kass et al 2016).”