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 extended advent to utilizing regression and its extensions in analysing ecological information. As with the sooner e-book, actual info units from postgraduate ecological experiences or examine tasks are used all through.

The first a part of the e-book is a principally non-mathematical advent to linear combined results modelling, GLM and GAM, 0 inflated versions, GEE, GLMM and GAMM. the second one half presents ten case reviews that variety from koalas to deep sea learn. those chapters offer a useful perception into analysing advanced ecological datasets, together with comparisons of alternative methods to an identical challenge. by means of matching ecological questions and information constitution to a case research, those chapters offer an exceptional place to begin to analysing your individual info.

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

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