A Computational Approach to Statistical Arguments in Ecology and Evolution

George F. Estabrook (University of Michigan, Ann Arbor)

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English

Cambridge University Press
29 September 2011

Maths for scientists; Ecological science, the Biosphere

Scientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their own research.

By: George F. Estabrook (University of Michigan Ann Arbor)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Edition: New edition
Dimensions: Height: 235mm, Width: 157mm, Spine: 17mm
Weight: 560g
ISBN: 9781107004306
ISBN 10: 1107004306
Pages: 266
Publication Date: 29 September 2011
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Hardback
Publisher's Status: Active

Acknowledgements; 1. Introduction; 2. Programming and statistical concepts; 3. Choosing a test statistic; 4. Random variables and distributions; 5. More programming and statistical concepts; 6. Parametric distributions; 7. Linear model; 8. Fitting distributions; 9. Dependencies; 10. How to get away with peeking at data; 11. Contingency; References; Index.

George Estabrook is a Professor of Botany in the Department of Ecology and Evolutionary Biology at the University of Michigan, Ann Arbor. He is interested in the application of mathematics and computing to biology and has taught graduate courses on the subject for more than 30 years.

Reviews for A Computational Approach to Statistical Arguments in Ecology and Evolution

The book uses fascinating examples from diverse disciplines to illustrate the power and ease of this approach. The examples, along with clear, step-by-step programming instructions, are described in chapters on programming techniques, test statistics, random variables, resampling, parametric probability distributions, linear models, goodness of fit, and contingency. Keith Hunley & Jessica Gross, Journal of Anthropological Research