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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Bayesian Methods for Ecology

By: Michael A McCarthy
296 pages, no illustrations
Bayesian Methods for Ecology
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  • Bayesian Methods for Ecology ISBN: 9780521615594 Paperback May 2007 Usually dispatched within 6 days
    £36.99
    #164471
  • Bayesian Methods for Ecology ISBN: 9780521850575 Hardback Apr 2007 Out of Print #164472
Selected version: £36.99
About this book Contents Customer reviews Biography Related titles

About this book

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.

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.

Customer Reviews

Biography

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.

By: Michael A McCarthy
296 pages, no illustrations
Media reviews

[This book] will advance any ecologists' understanding of Bayesian statistics. ... the many diverse examples, which are the book's greatest strength, make the topic very approachable, even for people with moderate understanding of statistical theory. ... I therefore would highly recommend it to any ecologist interested in learning more about Bayesian statistics, and especially to those who want to learn to run Bayesian analyses in Win BUGS. - Tabitha Graves, Ecology

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