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Residual Analysis for Linear Mixed Models

✍ Scribed by Juvêncio Santos Nobre; Julio da Motta Singer

Publisher
John Wiley and Sons
Year
2007
Tongue
English
Weight
597 KB
Volume
49
Category
Article
ISSN
0323-3847

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✦ Synopsis

Abstract

Residuals are frequently used to evaluate the validity of the assumptions of statistical models and may also be employed as tools for model selection. For standard (normal) linear models, for example, residuals are used to verify homoscedasticity, linearity of effects, presence of outliers, normality and independence of the errors. Similar uses may be envisaged for three types of residuals that emerge from the fitting of linear mixed models. We review some of the residual analysis techniques that have been used in this context and propose a standardization of the conditional residual useful to identify outlying observations and clusters. We illustrate the procedures with a practical example. (© 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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