Mixed Effects Models and Extensions in Ecology with R

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics, Science & Nature, Science, Biological Sciences, Ecology
Cover of the book Mixed Effects Models and Extensions in Ecology with R by Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith, Springer New York
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Author: Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith ISBN: 9780387874586
Publisher: Springer New York Publication: March 5, 2009
Imprint: Springer Language: English
Author: Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith
ISBN: 9780387874586
Publisher: Springer New York
Publication: March 5, 2009
Imprint: Springer
Language: English

This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

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This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

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