Buch, Englisch, 310 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 455 g
Buch, Englisch, 310 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 455 g
ISBN: 978-0-521-61559-4
Verlag: Cambridge University Press
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.
Autoren/Hrsg.
Fachgebiete
- Geowissenschaften Umweltwissenschaften Umweltüberwachung, Umweltanalytik, Umweltinformatik
- Geowissenschaften Umweltwissenschaften Umweltschutz, Umwelterhaltung
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Geowissenschaften Umweltwissenschaften Angewandte Ökologie
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
Weitere Infos & Material
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.




