Abstract
As explained in Chapter 5, the fitting of mixed models is based on likelihood methods (maximum likelihood, restricted maximum likelihood), which are sensitive to peculiar observations. The data analyst should be aware of particular observations that have an unusually large influence on the results of the analysis. Such cases may be found to be completely appropriate and retained in the analysis, or they may represent inappropriate data and may be eliminated from the analysis, or they may suggest that additional data need to be collected or that the current model is inadequate. Of course, an extended investigation of influential cases is only possible once they have been identified.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Rights and permissions
Copyright information
© 2000 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
(2000). Local Influence for the Linear Mixed Model. In: Linear Mixed Models for Longitudinal Data. Springer Series in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-22775-7_11
Download citation
DOI: https://doi.org/10.1007/978-0-387-22775-7_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-95027-3
Online ISBN: 978-0-387-22775-7
eBook Packages: Springer Book Archive