A Computational Approach to Statistical Arguments in Ecology and Evolution

A Computational Approach to Statistical Arguments in Ecology and Evolution

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Description

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.show more

Product details

  • Electronic book text | 280 pages
  • CAMBRIDGE UNIVERSITY PRESS
  • Cambridge University Press (Virtual Publishing)
  • Cambridge, United Kingdom
  • English
  • 4 b/w illus.
  • 1139119737
  • 9781139119733

Table of contents

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.show more

Review quote

'I recommend this volume to students and researchers looking for an easy, interesting, and condensed introduction to a computational approach to statistics.' The Quarterly Review of Botanyshow more

About George F. Estabrook

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.show more