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Mixed Effects Models and Extensions in Ecology with R(Reprint)
(Statistics for Biology and Health)
by Alain F. Zuur, Elena N. Ieno, Neil Walker, Anatoly A. Saveliev, Graham M. Smith
Paperback, 600 Pages, Published 2011 by Springer
ISBN-13: 978-1-4419-2764-4, ISBN: 1-4419-2764-6

"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, ..."

Mixed Effects Models and Extensions in Ecology with R
(Statistics for Biology and Health)
by Elena N. Ieno, Neil Walker, Alain F. Zuur, Anatoly A. Saveliev, Graham M. Smith
Hardcover, 574 Pages, Published 2009 by Springer
ISBN-13: 978-0-387-87457-9, ISBN: 0-387-87457-7

"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 inf ..."

Statistics for Biology and Health Ser.
Mixed Effects Models and Extensions in Ecology with R
by Alain F. Zuur, Neil Walker, Elena N. Ieno, Graham M. Smith, Anatoly A. Saveliev
574 Pages, Published 2009 by Springer Science & Business Media
ISBN-13: 978-0-387-87458-6, ISBN: 0-387-87458-5

"This chapter revises the basic concepts of linear regression, shows how to apply linear regression in R, discusses model validation, and outlines the limitations of linear regression when applied to ecological data. Later chapters present methods to overcome some of these limitations; but as always before doing any complicated statistical analyses, we begin with a detailed data exploration. The key concepts to consider at this stag ..."