Bayesian population analysis using WinBUGS : a hierarchical perspective /

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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 standa...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kéry, Marc
Otros Autores: Schaub, Michael
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Waltham, MA : Academic Press, 2012.
Edición:1st ed.
Temas:
WinBUGS.
WinBUGS
Population biology > Data processing.
Bayes Theorem
Population Characteristics
Textbooks
Biologie des populations > Informatique.
Théorème de Bayes.
NATURE > Ecology.
NATURE > Ecosystems & Habitats > Wilderness.
SCIENCE > Environmental Science.
SCIENCE > Life Sciences > Ecology.
Population biology > Data processing
Bayes-Verfahren
Demökologie
Populationsbiologie.
Populationsdynamik.
Biometrie.
Bayes-Entscheidungstheorie.
Statistisches Modell.
Textbooks.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface Acknowledgements 1. Introduction 2. Very brief introduction to Bayesian statistical modeling 3. Introduction to the generalized linear model (GLM): 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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