Bayesian Methods for Ecology (Google eBook)
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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Page x - The probability distribution function, /'< 4. r). is defined as the probability that the random variable x is less than some value...
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.