| Description |
xvi, 364-714 pages : illustrations ; 23 cm |
| Summary |
This title consists of two volumes. Volume 2 explains how to apply zero-inflated models and generalised additive (mixed-effects) models to spatial and spatial-temporal data, which is typical of the messy, real-world data obtained by biologists. After explaining how to deal with zero-inflated data, the authors introduce so-called zero-inflated Poisson (ZIP) models, zero-inflated negative binomial (ZINB) models, zero-altered Poisson (ZAP) models and zero-altered negative binomial (ZINB) models, and then extend all these to models with spatial correlation. Examples of datasets analysed include begging behaviour of owl nestlings, sandeel count data, zero-inflated bird densities sampled in the Labrador Sea, coral reef data sampled around an island, and aggregated tornado data in 102 counties in Illinois. |
| Subject |
Ecology -- Statistical methods.
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Generalized estimating equations.
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Linear models (Statistics)
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Multilevel models (Statistics)
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R (Computer program language)
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| Author |
Ieno, Elena N., author
|
| ISBN |
9780957174146 |
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