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dc.contributor.authorLezenne Coulander C de
dc.date.accessioned2012-12-12T12:26:56Z
dc.date.available2012-12-12T12:26:56Z
dc.date.issued1994-07-31
dc.identifier441111004
dc.identifier.urihttp://hdl.handle.net/10029/255731
dc.description.abstractAbstract niet beschikbaar
dc.description.abstractthe SAS procedure CATMOD fits linear models to functions of categorical data. By choosing appropriate response functions well known statistical procedures such as linear regression, anova, repeated measures, log-linear models and logistic regression are available. Still more can be done by using user-defined response functions (for instance proportional hazard models). The estimating methodes used by CATMOD are empirical generalized least squares (EGLS) and maximum likelihood (ML).
dc.description.sponsorshipRIVM
dc.format.extent55 p
dc.language.isonl
dc.relation.ispartofRIVM Rapport 441111004
dc.relation.urlhttp://www.rivm.nl/bibliotheek/rapporten/441111004.html
dc.subject11nl
dc.subjectstatistieknl
dc.subjectanalysenl
dc.subjectsoftwarenl
dc.subjectstatisticsen
dc.subjectanalysisen
dc.subjectsoftwareen
dc.subjectdiscrete data analyseen
dc.titleAnalyse van discrete variabelen met de SAS procedure CATMODnl
dc.title.alternativeCategorical data analysis by way of the SAS procedure CATMODen
dc.typeReport
dc.contributor.departmentCCM
dc.date.updated2012-12-12T12:26:56Z
html.description.abstractAbstract niet beschikbaar
html.description.abstractthe SAS procedure CATMOD fits linear models to functions of categorical data. By choosing appropriate response functions well known statistical procedures such as linear regression, anova, repeated measures, log-linear models and logistic regression are available. Still more can be done by using user-defined response functions (for instance proportional hazard models). The estimating methodes used by CATMOD are empirical generalized least squares (EGLS) and maximum likelihood (ML).


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