Bayesian Methods for Ecology

Nonfiction, Science & Nature, Science, Biological Sciences, Ecology, Mathematics, Nature
Cover of the book Bayesian Methods for Ecology by Michael A. McCarthy, Cambridge University Press
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Author: Michael A. McCarthy ISBN: 9781107086272
Publisher: Cambridge University Press Publication: May 10, 2007
Imprint: Cambridge University Press Language: English
Author: Michael A. McCarthy
ISBN: 9781107086272
Publisher: Cambridge University Press
Publication: May 10, 2007
Imprint: Cambridge University Press
Language: English

The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

The interest in using Bayesian methods in ecology is increasing, however many ecologists have difficulty with conducting the required analyses. McCarthy bridges that gap, using a clear and accessible style. The text also incorporates case studies to demonstrate mark-recapture analysis, development of population models and the use of subjective judgement. The advantages of Bayesian methods, are also described here, for example, the incorporation of any relevant prior information and the ability to assess the evidence in favour of competing hypotheses. Free software is available as well as an accompanying web-site containing the data files and WinBUGS codes. Bayesian Methods for Ecology will appeal to academic researchers, upper undergraduate and graduate students of Ecology.

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