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Influence analysis in the linear mixed model.

Author(s)
Semra Turkan Department of Statistics, University of Hacettepe, Beytepe, Ankara, Turkey
Oniz Toktamis Department of Statistics, University of Hacettepe, Beytepe, Ankara, Turkey
Abstract
The linear mixed model is considerably sensitive to outliers and influential observations. It is known that outliers and influential observations affect substantially the results of analysis. So it is very important to be aware of these observations. Some diagnostics which are analogue of diagnostics in multiple linear regression were developed to detect outliers and influential observations in the linear mixed model. In this paper, the new diagnostic measure which is analogue of the pena’s influence statistic is developed for the linear mixed model.
Publication Details
Page(s) 341-349
DOI DOI not available
Published Journal: Pakistan Journal of Statistics, Volume: 28, Issue: 3, Year: 2012

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