Introduction to Winbugs for Ecologists

Bayesian statistics has exploded into biology and its sub-disciplines such as ecology over the years. This title offers a guide to applying WinBUGS to the types of models that the ecologists use, such as: linear (LM), generalized linear (GLM), linear mixed (LMM) and generalized linear mixed models (GLMM).

List of contents

1. Introduction
2. Principles of Bayesian Statistics
3. WinBUGS
4. A First Session in WinBUGS
5. Running WinBUGS from R via R2WinBUGS
6. Key Components of Generalized Linear Models
7. T-Test, Normal Linear Regression
8. Normal One-Way ANOVA
9. Interaction, General Linear Model
10. Linear Mixed-Effects Model
11. Introduction to the Generalized Linear Model (GLM)
12. Overdispersion and Offsets in the GLM
13. Poisson ANCOVA
14. Poisson Mixed-Effects Model
15. Binomial T-Test
16. Binomial ANCOVA
17. Binomial Mixed-Effects Model
18. Non-Standard GLMMs 1
19. Non-Standard GLMMs 2
20. Conclusion and Outlook
Acknowledgements
References

Report

"I don't believe this book was written with the goal of being treated as the primary text of an intro Bayesian statistics course. That said, it could prove to be a useful supplemental text for an introductory Bayesian course or even a linear models course. Although the book was geared towards ecologists, I believe it would be an excellent library addition for any applied modeler interested in applying Bayesian methodologies in their work." --The American Statistician

Product details

• Authors: Marc Kery, Marc (Population Ecologist Kery, Marc Kéry
• Publisher: Academic Press London
• Languages: English
• Product format: Paperback / Softback
• Released: 12.08.2010
• EAN: 9780123786050
• ISBN: 978-0-12-378605-0
• Dimensions: 153 mm x 228 mm x 15 mm
• Series: Academic Press
• Subjects: Natural sciences, medicine, IT, technology > Biology > Ecology; SCIENCE / Life Sciences / Ecology, MATHEMATICS / Probability & Statistics / General, Ecological science, the Biosphere, Probability & statistics, Probability and statistics