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CASE STUDIES

Published online by Cambridge University Press:  05 June 2012

Michael A. McCarthy
Michael A. McCarthy
Affiliation:
University of Melbourne
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Summary

The previous chapters described some of the main forms of statistical modelling that ecologists are likely to encounter. The following chapters build on these by describing more detailed examples and more complicated forms of data analysis. These case studies are examples of the complexity that can be included in Bayesian analyses with relative ease.

Type
Chapter
Information
Bayesian Methods for Ecology , pp. 195 - 196
Publisher: Cambridge University Press
Print publication year: 2007

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  • CASE STUDIES
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.008
Available formats
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • CASE STUDIES
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.008
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • CASE STUDIES
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.008
Available formats
×