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Series / Report no.
Open Access
Type
Report
Language
nl
Date
1995-03-31
Research Projects
Organizational Units
Journal Issue
Title
Het Lineair Gemengd Model met de SAS procedure
MIXED
Translated Title
The Mixed Linear Model with the SAS procedure
MIXED
Published in
Abstract
De SAS procedure MIXED schat parameters voor gemengde
lineaire modellen (modellen met zowel 'fixed' als 'random' effecten). Het
gemengde model analyseert data met meerdere variantie bronnen in plaats van
een bron (zoals met het algemene lineaire model, dat door de SAS procedure
GLM gebruikt wordt). Een aantal verschillende gemengde modellen zijn
toepasbaar, b.v. split-plot modellen, herhaalde metingen, random
coefficinten, BLUP (best linear unbiased predictor) modellen en heterogene
varianties. Model parameters worden geschat met behulp van 'maximum
likelihood' (ML) of 'restricted maximum likelihood' (REML). Dit rapport
wordt uitgebracht in het kader van de taak die de afdeling IMA voor het RIVM
vervult.
The SAS procedure MIXED fits mixed linear models (models with both fixed and random effects). The mixed model analyzes data with several sources of variation instead of just one (as with the General Linear Model used by the SAS procedure GLM). Some different mixed models are accessible, for instance split-plot designs, repeated measures, random coefficients, best linear unbiased predictions (BLUP) and heterogeneous variances. Models are fit using maximum likelihood (ML) or restricted maximum likelihood (REML).
The SAS procedure MIXED fits mixed linear models (models with both fixed and random effects). The mixed model analyzes data with several sources of variation instead of just one (as with the General Linear Model used by the SAS procedure GLM). Some different mixed models are accessible, for instance split-plot designs, repeated measures, random coefficients, best linear unbiased predictions (BLUP) and heterogeneous variances. Models are fit using maximum likelihood (ML) or restricted maximum likelihood (REML).
Description
Dit rapport sluit direct aan op 441111005
Publisher
Sponsors
DGVGZ/PAO