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Mixed Effects Models and Extensions in Ecology with R

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ISBN-10: 0387874577

ISBN-13: 9780387874579

Edition: 2009

Authors: Alain F. Zuur, Elena N. Ieno, Neil J. Walker, Anatoly A. Saveliev, Graham M. Smith

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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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Book details

Copyright year: 2009
Publisher: Springer London, Limited
Publication date: 3/12/2009
Binding: Hardcover
Pages: 574
Size: 6.50" wide x 9.50" long x 1.25" tall
Weight: 2.244
Language: English

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