Mixed effects models and extensions in ecology with R:

"In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. 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 sec...

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Bibliographic Details
Format: Book
Language:English
Published: New York, NY Springer 2009
Series:Statistics for biology and health
Subjects:
Online Access:Cover
Kapitel 2
Vorwort 1
Inhaltsverzeichnis
Summary:"In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. 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 the reader's own data." --NHBS Environment Bookstore.
Physical Description:XXII, 574 S. graph. Darst.
ISBN:9780387874579
9781441927644

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