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

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

ISBN 10: 0387874577 / ISBN 13: 9780387874579

Edité par Springer (edition 2009), 2009

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. N° de réf. du vendeur 0387874577-11-1

Synopsis :

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.

Présentation de l'éditeur:

Building on their previous book on the subject, the authors provide an expanded introduction to using Regression to analyze ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout.

Détails bibliographiques

Titre : Mixed Effects Models and Extensions in ...
Éditeur : Springer (edition 2009)
Date d'édition : 2009
Reliure : Hardcover
Etat : Good
Edition : 2009.