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Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)

Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith




[PDF.vh93] Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)

Mixed Effects Models and  Alain Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith epub
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 | #446161 in Books |  imusti |  2009-03-12 | Original language:English | PDF # 1 |  9.21 x1.31 x6.14l,2.23 | File type: PDF | 574 pages

 | Springer

||3 of 3 people found the following review helpful.| A pleasure to read|By C. Andersen|I've read through the first 6 chapters during the past few days, and have quite enjoyed it -- it reads smoothly, almost like a novel; quite unexpected for a text written by multiple authors. There's even a bit of humor. I've worked a bit with mixed models in the SAS world, but needed to learn how to deal with them in R, and this book has turn| ||From the reviews:||"For many people dealing with statistics is like jumping into ice-cold water. This metaphor is depicted by the cover of this book … . full of excellent example code and for most graphs and analyses the code is printed and explained i

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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