Mixed Effects Models and Extensions in Ecology with R
| Autores principales: | , , , , |
|---|---|
| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Statistics for Biology and Health,
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| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-0-387-87458-6 |
Tabla de Contenidos:
- Limitations of Linear Regression Applied on Ecological Data
- Things are not Always Linear; Additive Modelling
- Dealing with Heterogeneity
- Mixed Effects Modelling for Nested Data
- Violation of Independence – Part I
- Violation of Independence – Part II
- 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.