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141222 ||| eng |
| 020 |
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|a 0123870208
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| 020 |
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|a 9780123870209
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|a 0123870216
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|a 9780123870216
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| 100 |
1 |
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|a Kéry, Marc
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| 245 |
0 |
0 |
|a Bayesian population analysis using WinBUGS
|h [electronic resource]
|h Elektronische Ressource
|b a hierarchical perspective
|c Marc Kery and Michael Schaub ; foreword by Steven R. Beissinger
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| 250 |
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|a 1st ed
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| 260 |
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|a Waltham, MA
|b Academic Press
|c 2012, 2012
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| 300 |
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|a online resource (xvii, 535 pages)
|b illustrations (some color)
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 505 |
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|a The simplest model for count data 4. Introduction to random effects: The conventional Poisson GLMM for count data 5. State-space models 6. Estimation of population size 7. Estimation of survival probabilities using capture-recapture data 8. Estimation of survival probabilities using mark-recovery data 9. Multistate capture-recapture models 10. Estimation of survival and recruitment using the Jolly-Seber model 11. Integrated population models 12. Metapopulation modeling of abundance using hierarchical Poisson regression 13. Metapopulation modeling of species distributions using hierarchical logistic regression 14. Concluding remarks Appendices References
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| 653 |
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|a Science
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| 653 |
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|a SCIENCE / Life Sciences / Ecology / bisacsh
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| 653 |
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|a Natural history
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| 653 |
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|a Population biology / Data processing
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| 653 |
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|a WinBUGS.
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| 653 |
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|a SCIENCE / Environmental Science / bisacsh
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| 653 |
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|a NATURE / Ecosystems & Habitats / Wilderness / bisacsh
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| 653 |
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|a NATURE / Ecology / bisacsh
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| 653 |
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|a Population biology / Data processing / fast / (OCoLC)fst01071536
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| 653 |
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|a WinBUGS.
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| 653 |
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|a WinBUGS. / fast / (OCoLC)fst01796027
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| 653 |
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|a Biology
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| 700 |
1 |
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|a Schaub, Michael
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ESD
|a Elsevier ScienceDirect eBooks
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| 856 |
4 |
0 |
|u http://www.sciencedirect.com/science/book/9780123870209
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 577.8/80285
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| 520 |
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|a Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS and its open-source sister OpenBugs is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly-commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist. All WinBUGS/OpenBUGS analyses are completely integrated in software R. Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R.
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