Mixed Effects Models and Extensions in Ecology with R
Tytuł: Mixed Effects Models and Extensions in Ecology with R
Autor: Alain F. Zuur
Wydawnictwo: Springer-Verlag GmbH
Data wydania: 200904
Słowa kluczowe:
Kategorie: biologia / biology
ISBN: 0387874577
Opis: 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. TOC:Revision of regression and additive models.- Regression and additive models with different variances.- Regression and additive models for time series or spatial data.- Mixed effects models.- Revision of GLM and GAM.- GLMM and GAMM for time series or spatial data.- Case study chapter showing regression or additive model.- Case study chapter showing the use of regression or additive models for time series data.- Case study chapter showing the use of regression or additive model for spatial data.- Case study chapter showing the use of a mixed effect model.- Case study chapter showing the use of GLMM and GAMM for time series.- Case study chapter showing the use of GLM or GAMM for spatial data.
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Mixed Effects Models and Extensions in Ecology with R
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biologia / biology
w serwisie Boston Books