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Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective de Marc Kéry

Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective

Autor Marc Kéry, Michael Schaub
en Limba Engleză Paperback – 10 oct 2011
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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Specificații

ISBN-13: 9780123870209
ISBN-10: 0123870208
Pagini: 554
Dimensiuni: 152 x 229 x 25 mm
Greutate: 0.84 kg
Editura: Elsevier

Public țintă

Professional ecologists, upper-level graduate and graduate ecology students.

Cuprins

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