Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective

Author:   Marc Kéry (Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland) ,  Michael Schaub (Head of Ecology, Swiss Ornithological Institute, Sempach, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780123870209


Pages:   554
Publication Date:   11 October 2011
Format:   Paperback
Availability:   In Print   Availability explained
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Bayesian Population Analysis using WinBUGS: A Hierarchical Perspective


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Overview

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.

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Author:   Marc Kéry (Senior Scientist, Swiss Ornithological Institute, Basel, Switzerland) ,  Michael Schaub (Head of Ecology, Swiss Ornithological Institute, Sempach, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland) ,  Marc Kery (Population Ecologist, Swiss Ornithological Institute, Switzerland)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Dimensions:   Width: 15.20cm , Height: 2.50cm , Length: 22.90cm
Weight:   0.900kg
ISBN:  

9780123870209


ISBN 10:   0123870208
Pages:   554
Publication Date:   11 October 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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Author Information

Dr. Marc works as a senior scientist at the Swiss Ornithological Institute, Seerose 1, 6204 Sempach, Switzerland. This is a non-profit NGO with about 160 employees dedicated primarily to bird research, monitoring, and conservation. Marc was trained as a plant population ecologist at the Swiss Universities of Basel and Zuerich. After a 2-year postdoc at the (then) USGS Patuxent Wildlife Center in Laurel, MD. During the last 20 years he has worked at the interface between population ecology, biodiversity monitoring, wildlife management, and statistics. He has published more than 100 peer-reviewed journal articles and five textbooks on applied statistical modeling. He has also been very active in teaching fellow biologists and wildlife managers the concepts and tools of modern statistical analysis in their fields in workshops all over the world, something which goes together with his books, which target the same audiences. Michael Schaub is the Head of the Ecology Department at the Swiss Ornithological Institute and a courtesy Professor at the University of Bern. His research interests include population dynamics, capture-recapture models, integrated population models, and migratory birds. He has coauthored approximately 130 peer-reviewed journal publications and the book Bayesian Population Analysis using WinBUGS.

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