Analyse van discrete variabelen met de SAS procedure CATMOD
dc.contributor.author | Lezenne Coulander C de | |
dc.date.accessioned | 2012-12-12T12:26:56Z | |
dc.date.available | 2012-12-12T12:26:56Z | |
dc.date.issued | 1994-07-31 | |
dc.identifier | 441111004 | |
dc.identifier.uri | http://hdl.handle.net/10029/255731 | |
dc.description.abstract | Abstract niet beschikbaar | |
dc.description.abstract | the 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.sponsorship | RIVM | |
dc.format.extent | 55 p | |
dc.language.iso | nl | |
dc.relation.ispartof | RIVM Rapport 441111004 | |
dc.relation.url | http://www.rivm.nl/bibliotheek/rapporten/441111004.html | |
dc.subject | 11 | nl |
dc.subject | statistiek | nl |
dc.subject | analyse | nl |
dc.subject | software | nl |
dc.subject | statistics | en |
dc.subject | analysis | en |
dc.subject | software | en |
dc.subject | discrete data analyse | en |
dc.title | Analyse van discrete variabelen met de SAS procedure CATMOD | nl |
dc.title.alternative | Categorical data analysis by way of the SAS procedure CATMOD | en |
dc.type | Report | |
dc.contributor.department | CCM | |
dc.date.updated | 2012-12-12T12:26:56Z | |
html.description.abstract | Abstract niet beschikbaar | |
html.description.abstract | the 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). |