MIXED effects models and extensions in ecology with R.
Guardado en:
| Otros Autores: | |
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| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
New York :
Springer,
2009.
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| Colección: | Statistics for biology and health
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| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- Contenido: Introduction
- Limitations of linear regression applied on ecological data
- Things are not always linear : additive modeling
- Dealing with heterogeneity
- Mixed effects modeling for nested data
- Violation of independence
- Meet the exponential family
- GLM and GAM for count data
- GLM and GAM for absence-presence and proportional data
- Zero-truncated and zero-inflated models for count data
- Generalised estimation equations
- GLMM and GAMM
- Estimating trends for Antarctic birds in relation to climate change
- Large scale impacts of land-use change in a Scottish farming catchment
- Negative binomial GAM and GAMM to analyse amphibian roadkills
- Additive mixed modelling applied on deep-sea pelagic bioluminescent organisms
- Additive mixed modelling applied on phytoplankton time series data
- Mixed effects modelling applied on American foulbrood affecting honey bees larvae
- Three-way nested data for age determination techniques applied to cetaceans
- GLMM applied on the spatial distribution of koalas in a fragmented landscape
- A comparison of GLM, GEE, and GLMM applied to badger activity data
- Incorporating temporal correlation in seal abundance data with MCMC
- Required pre-knowledge : a linear regression and additive modelling example.