Mixed Effects Models and Extensions in Ecology with R
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Description: Building on the successful 'Analysing Ecological Data', the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
Copyright year: 2009
Publisher: Springer London, Limited
Publication date: 3/12/2009
Size: 6.50" wide x 9.50" long x 1.25" tall
Grad students, researchers
|Limitations of linear regression applied on ecological data|
|Things are not always linear; additive modelling|
|Dealing with hetergeneity|
|Mixed modelling for nested data|
|Violation of independence temporal data|
|Violation of independence; spatial data|
|Generalised linear modelling and generalised additive modelling|
|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 road killings|
|Additive mixed modelling applied on deep-sea plagic bioluminescent organisms|
|Additive mixed modelling applied on phyoplankton time series data|
|Mixed modelling applied on American Fouldbrood affecting honey bees larvae|
|Three-way nested data for age determination techniques applied to small cetaceans|
|GLMM applied on the spatial distribution of koalas in a fragmented landscape|
|GEE and GLMM applied on binomial Badger activity data|