Eco-Stats: Data Analysis in Ecology

Written for biologists with relatively little prior knowledge of statistics Introduces modern methods of multivariate analysis to ecology as direct extensions of univariate techniques Discusses a range of advanced statistics topics relevant to the modern ecologist

Autorentext

David Warton is professor and leads the Eco-Stats group based in the School of Mathematics and Statistics and is affiliated with the Evolution & Ecology Research Centre at the University of New South Wales (Australia). He is an ecological statistician who advances methodology for data analysis in ecology and is one of quantitative ecology's great explainers. He has an unerring knack for identifying core concepts and packaging them in comprehensible ways.

Inhalt

1. "Stats 101" Revision.- 2. An important equivalence result.- 3. Regression with multiple predictor variables.- 4. Linear models anything goes.- 5. Model selection.- 6. Mixed effects models.- 7. Correlated samples in time, space, phylogeny.- 8. Wiggly Models.- 9. Design-based inference.- 10. Analysing discrete data.- 11. Multivariate analysis.- 12. Visualising many responses.- 13. Allometric line-fitting.- 14. Multivariate abundances and environmental association.- 15. Predicting multivariate abundances.- 16. Explaining variation in response across taxa.- 17. Studying co-occurrence patterns.- 18. Closing advice.