# Bayesian Methods for Ecology

Cambridge University Press, May 7, 2007 - Science
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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### Contents

 XI 24 XIII 40 XIV 49 XV 50 XVI 51 XVII 55 XVIII 65 XIX 72
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### Popular passages

Page x - The probability distribution function, /'< 4. r). is defined as the probability that the random variable x is less than some value...
Page 1 - WinBUGS, the binomial distribution is expressed as: dbin (p, n) , where p is the probability of success and n is the number of trials.
Page 6 - The constant pdf (the flat line) shows that the standard uniform distribution is a special case of the beta distribution.
Page 5 - AZ) sin a] (53) where A is the lower limit and B is the upper limit of the particular integral in question, and the a range of integration is 0 to Tt/2.
Page 1 - For the binomial distribution: where x is the number of 'successes' and nx is the number of 'failures'.