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Bayesian methods for ecology /
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 o...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
2007.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a McCarthy, Michael A., |d 1968- | |
| 245 | 1 | 0 | |a Bayesian methods for ecology / |c Michael A. McCarthy. |
| 260 | |a Cambridge, UK ; |a New York : |b Cambridge University Press, |c 2007. | ||
| 300 | |a 1 online resource (xiii, 296 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references (pages 282-292) and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a 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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| 650 | 0 | |a Ecology |x Research |x Statistical methods. | |
| 650 | 0 | |a Bayesian statistical decision theory. | |
| 650 | 6 | |a Écologie |x Recherche |x Méthodes statistiques. | |
| 650 | 6 | |a Théorie de la décision bayésienne. | |
| 650 | 7 | |a NATURE |x Ecology. |2 bisacsh | |
| 650 | 7 | |a NATURE |x Ecosystems & Habitats |x Wilderness. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Environmental Science. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Life Sciences |x Ecology. |2 bisacsh | |
| 650 | 7 | |a Bayesian statistical decision theory. |2 fast |0 (OCoLC)fst00829019 | |
| 650 | 7 | |a Bayes-Entscheidungstheorie |2 gnd | |
| 650 | 7 | |a Ökologie |2 gnd | |
| 650 | 7 | |a Bayes-Verfahren |2 gnd | |
| 776 | 0 | 8 | |i Print version: |a McCarthy, Michael A., 1968- |t Bayesian methods for ecology. |d Cambridge, UK ; New York : Cambridge University Press, 2007 |z 9780521850575 |w (DLC) 2006102405 |w (OCoLC)76798224 |
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