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    Het Lineair Gemengd Model met de SAS procedure MIXED

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    Authors
    Lezenne Coulander C de
    Type
    Report
    Language
    nl
    
    Metadata
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    Title
    Het Lineair Gemengd Model met de SAS procedure MIXED
    Translated Title
    The Mixed Linear Model with the SAS procedure MIXED
    Publiekssamenvatting
    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).
    Description
    Dit rapport sluit direct aan op 441111005
    Sponsors
    DGVGZ/PAO
    URI
    http://hdl.handle.net/10029/258580
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