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Bayesian Methods for Ecology

  • Date Published: May 2007
  • availability: Available
  • format: Paperback
  • isbn: 9780521615594

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  • 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.

    • Describes the basics of Bayesian statistical methods in an easily accessible style
    • A diversity of analyses that are typically conducted by ecologists are described
    • Free computer program and data files allowing reader to replicate the results in the book and modify the examples to their own data. Website addresses: http://mathstat.helsinki.fi/openbugs/ and http://arcue.botany.unimelb.edu.au/bayes.html
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    Product details

    • Date Published: May 2007
    • format: Paperback
    • isbn: 9780521615594
    • length: 312 pages
    • dimensions: 226 x 150 x 18 mm
    • weight: 0.48kg
    • contains: 47 b/w illus. 8 tables
    • availability: Available
  • Table of Contents

    1. Introduction
    2. Critiques of statistical methods
    3. Analysing averages and frequencies
    4. How good are the models?
    5. Regression and correlation
    6. Analysis of variance
    Case studies
    7. Mark-recapture analysis
    8. Effects of marking frogs
    9. Population dynamics
    10. Subjective priors
    11. Conclusion
    Appendix A. A tutorial for running WinBUGS
    Appendix B. Probability distributions
    Appendix C. MCMC algorithms.

  • Resources for

    Bayesian Methods for Ecology

    Michael A. McCarthy

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    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

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  • Instructors have used or reviewed this title for the following courses

    • Anthropology Statistics
    • Spatial Ecology
    • Topics in Biometry
    • Wildlife Ecology
  • Author

    Michael A. McCarthy, University of Melbourne
    Michael A. McCarthy is Senior Ecologist at the Royal Botanical Gardens, Melbourne and Senior Fellow in the School of Botany at the University of Melbourne.

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