Zero Inflated Models and Generalized Linear Mixed Models with R. Zuur, Saveliev, Ieno. (2012)
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Outline:
Chapter 1 provides a basic introduction to Bayesian statistics and Markov Chain Monte Carlo (MCMC), as we will need this for most analyses.
In Chapter 2 we analyse nested zero inflated data of sibling negotiation of barn owl chicks. We explain application of a Poisson GLMM for 1-way nested data and discuss the observation-level random intercept to allow for overdispersion. We show that the data are zero inflated and introduce zero inflated GLMM.
Data of sandeel otolith presence in seal scat is analysed in Chapter 3. We present a flowchart of steps in selecting the appropriate technique: Poisson GLM, negative binomial GLM, Poisson or negative binomial GAM, or GLMs with zero inflated distribution.
Chapter 4 is relevant for readers interested in the analysis of (zero inflated) 2-way nested data. The chapter takes us to marmot colonies: multiple colonies with multiple animals sampled repeatedly over time.
Chapters 5 – 7 address GLMs with spatial correlation. Chapter 5 presents an analysis of Common Murre density data and introduces hurdle models using GAM. Random effects are used to model spatial correlation. In Chapter 6 we analyse zero inflated skate abundance recorded at approximately 250 sites along the coastal and continental shelf waters of Argentina. Chapter 7 also involves spatial correlation (parrotfish abundance) with data collected around islands, which increases the complexity of the analysis. GLMs with residual conditional auto-regressive correlation structures are used.
In Chapter 8 we apply zero inflated models to click beetle data.
Chapter 9 is relevant for readers interested in GAM, zero inflation, and temporal auto-correlation. We analyse a time series of zero inflated whale strandings.
Keywords
- Introduction to Bayesian statistics, MCMC and WinBUGS (run from R) using oystercatcher data.
- Zero inflated models for 1-way nested owl data. GLMM and overdispersion.
- A protocol for dealing with overdispersed sandeel otoliths in seal scats.
- Zero inflated models and GLMMs for 1-way and 2-way nested marmot data.
- Hurdle models with random effects for Common Murre density data.
- Zero inflated models with spatial correlation for skate abundances.
- Zero inflated models with spatial correlation around an island for parrot fish data. GLMMs with spatial correlation.
- Zero inflated models for click beetles.
- Zero inflated smoothing models with temporal correlation for sperm whale strandings time series.
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Publication date of this book is 15 March 2012.To pre-order kindly send us an email at highstat@highstat.com. Price: £79.00 (excluding delivery costs). Delivery is from The Netherlands. Payment is by credit card. Orders can be placed on this website.
Reviewer comments
Comments on the back cover from Prof. Joe Hilbe and Dr. Aaron Macneil.
