Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)
by Alain Zuur, Elena N. Ieno, Graham M. Smith, Neil Walker, Anatoly A. Saveliev
Mixed Effects Models and Extensions in Ecology with R presents statistical modeling concepts for ecological research, connecting mixed effects methods with R. Written by five authors and published in the Statistics for Biology and Health series, it brings together ecology, biology, statistics, and computational analysis.
About This Book
Mixed Effects Models and Extensions in Ecology with R focuses on statistical modeling for ecological applications.
The book covers mixed effects models and related extensions, with R serving as the computational context.
It is part of the Statistics for Biology and Health series and brings together material at the intersection of ecology, biology, and statistics.
Authors Alain Zuur, Elena N. Ieno, Graham M. Smith, Neil Walker, and Anatoly A. Saveliev present the subject for readers working with ecological data and quantitative methods.
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