Título: |
Mixed effects models and extensions in ecology with R |
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Autor, etc.: |
Smith Graham M., Saveliev Anatoly, Walker Neil J., Ieno Elena N., Zuur Alain F. |
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Fecha de publicación: |
2009 |
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Editorial: |
Springer New York |
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Número de páginas: |
xxii, 574 p. |
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Nota general: |
Incluye Referencias, Incluye indice |
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Idioma: |
Inglés |
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Formato: |
ilus. |
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Tipo de documento: |
texto impreso |
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Tipo de medio: |
Libro |
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ISBN/ISSN/DL: |
978-0-387-87457-9 |
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Clasificación: |
577.7 Ecología marina |
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Palabras claves: |
BIOLOGÍA, MÉTODOS ESTADÍSTICOS |
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Descripción: |
Contiene: 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. 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. Large-scale impacts of land-use change in a scottish, farming catchment. Negative binomial GAM and GAMM to analyse amphibian roadkills. Addtive 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 aplied to badger activity data. Incorporating temporal correlation in seal abundance data with MCMC. Required pre-knowledge: a linear regression and additive modelling example |
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