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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Mixed Effects Models and Extensions in Ecology with R

Mixed Effects Models and Extensions in Ecology with R

Zuur, Alain
Ieno, Elena N.
Walker, Neil

Paperback

Series: Statistics for Biology and Health

Medical ReferenceApplicationsEnvironmental Studies

ISBN10: 1441927646
ISBN13: 9781441927644
Publisher: Springer Nature
Published: Apr 6 2011
Pages: 574
Weight: 1.83
Height: 1.21 Width: 6.14 Depth: 9.21
Language: English

Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, 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. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.

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