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

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

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


Building at the profitable Analysing Ecological Data (2007) via Zuur, Ieno and Smith, the authors now supply an increased advent to utilizing regression and its extensions in analysing ecological facts. As with the sooner publication, genuine info units from postgraduate ecological reports or study tasks are used all through.

The first a part of the booklet is a mostly non-mathematical creation to linear combined results modelling, GLM and GAM, 0 inflated types, GEE, GLMM and GAMM. the second one half presents ten case experiences that variety from koalas to deep sea study. those chapters offer a useful perception into analysing complicated ecological datasets, together with comparisons of alternative techniques to an identical challenge. via matching ecological questions and information constitution to a case learn, those chapters offer a very good start line to analysing your individual facts.

Data and R code from all chapters can be found from www.highstat.com

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