Description
Book SynopsisTrade Review"For the beginning practitioner of hierarchical models,...this is definitely worth the space and may actually be the first place to start developing a strong fundamental understanding of hierarchical modeling. For more seasoned quantitative ecologists, there are lots of useful modeling details for both the unmarked and BUGS/JAGS syntax,...there is value to having it all in one place. Finally, for professors looking to teach a class or short-course on hierarchical models in ecology,...an excellent text for the course." course." --Journal of Agricultural, Biological, and Environmental Statistics
Table of ContentsPreface Part 1: Prelude 1. Distribution, abundance and species richness in ecology 2. What are hierarchical models and how do we analyse them ? 3. Linear models, generalized linear models (GLMs), and random-effects: the components of hierarchical models 4. Introduction to data simulation 5. The Bayesian modeling software BUGS and JAGS Part 2: Models for static systems 6. Modeling abundance using binomial N-mixture models 7. Modeling abundance using multinomial N-mixture models 8. Modeling abundance using hierarchical distance sampling 9. Advanced hierarchical distance sampling 10. Modeling distribution and occurrence using site-occupancy models 11. Community models (incidence- and abundance-based)
