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A Computational Approach to Statistical Arguments in Ecology and Evolution
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A Computational Approach to Statistical Arguments in Ecology and Evolution Hardback - 2011 - 1st Edition

by George F. Estabrook

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Reader reviews for A Computational Approach to Statistical Arguments in Ecology and Evolution

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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.

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  • Title A Computational Approach to Statistical Arguments in Ecology and Evolution
  • Author George F. Estabrook
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Pages 266
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2011-09-29
  • Features Bibliography, Index
  • ISBN 9781107004306 / 1107004306
  • Weight 1.19 lbs (0.54 kg)
  • Dimensions 9 x 6 x 0.7 in (22.86 x 15.24 x 1.78 cm)
  • Themes
    • Aspects (Academic): Science/Technology Aspects
    • Topical: Ecology
  • Category Medical / Nursing
  • Library of Congress subjects Biometry - Data processing, Ecology - Statistical methods - Data
  • Library of Congress Catalogue Number 2011275924
  • Dewey Decimal Code 577.072

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