| Description |
1 online resource (xiii, 296 pages) : illustrations |
| Physical Medium |
polychrome |
| Description |
text file |
| Contents |
Introduction -- Critiques of statistical methods -- Analysing averages and frequencies -- How good are the models? -- Regression and correlation -- Analysis of variance -- Case studies -- Mark-recapture analysis -- Effects of marking frogs -- Population dynamics -- Subjective priors -- Conclusion -- Appendices: A.A tutorial for running WinBUGS ; B. Probability distributions ; C. MCMC algorithms. |
| Bibliography |
Includes bibliographical references (pages 282-292) and index. |
| Summary |
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. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Ecology -- Research -- Statistical methods.
|
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Ecology -- Research. |
|
Statistics. |
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Bayesian statistical decision theory.
|
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Bayesian statistical decision theory. |
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: McCarthy, Michael A., 1968- Bayesian methods for ecology. Cambridge, UK ; New York : Cambridge University Press, 2007 9780521850575 (DLC) 2006102405 (OCoLC)76798224 |
| ISBN |
9780511286445 (electronic book) |
|
0511286449 (electronic book) |
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0511285701 (electronic book) |
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9780511285707 (electronic book) |
|
9780511802454 (electronic book) |
|
0511802455 (electronic book) |
|
9780521850575 |
|
0521850576 |
|
9780521615594 |
|
0521615593 |
|
