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Mixed effects models and extensions in ecology with RMixed Effects Modelling for Nested Data

Mixed effects models and extensions in ecology with R: Mixed Effects Modelling for Nested Data [In this chapter, we continue with Gaussian linear and additive mixed modelling methods and discuss their application on nested data. Nested data is also referred to as hierarchical data or multilevel data in other scientific fields (Snijders and Boskers, 1999; Raudenbush and Bryk, 2002).] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Mixed effects models and extensions in ecology with RMixed Effects Modelling for Nested Data

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Publisher
Springer New York
Copyright
© Springer-Verlag New York 2009
ISBN
978-0-387-87457-9
Pages
101 –142
DOI
10.1007/978-0-387-87458-6_5
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter, we continue with Gaussian linear and additive mixed modelling methods and discuss their application on nested data. Nested data is also referred to as hierarchical data or multilevel data in other scientific fields (Snijders and Boskers, 1999; Raudenbush and Bryk, 2002).]

Published: Feb 27, 2009

Keywords: Explanatory Variable; Likelihood Ratio Test; Linear Regression Model; Mixed Effect Model; Food Treatment

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