Smith, Graham M., <br/><br/>
Mixed effects models and extensions in ecology with R 

 - 1a ed. 
 - xxii, 574 páginas :  ilustraciones  Impreso 
<br/><br/>Incluye Referencias, Incluye indice 
<br/><br/> 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 
<br/><br/><label>ISBN: </label>978-0-387-87457-9 
<br/><br/><label>Subjects--Topical Terms: </label><br/>BIOLOGÍA<br/>MÉTODOS ESTADÍSTICOS
<br/><br/><label>Subjects--Facted Index Terms: </label><br/>577.7 - Ecología marina<br/>577.7 - Ecología marina
<br/><br/><label>Dewey Class. No.: </label>577.7  / Z967