dc.contributor.author | Zhang, Li-Chun | |
dc.date.accessioned | 2013-02-02T15:33:58Z | |
dc.date.available | 2013-02-02T15:33:58Z | |
dc.date.issued | 1998 | |
dc.identifier.issn | 1892-753x | |
dc.identifier.uri | http://hdl.handle.net/11250/180821 | |
dc.description.abstract | The present paper applies synthetic graphical modelling to the binary panel data of the Muscatine
Coronary Risk Factor Study, where the observations are subject to non-response. The methodology
combines the techniques of the graphical and generalized linear models. The purpose is to
demonstrate the various aspects of the modelling approach than to obtain accurate empirical
knowledge on the matter dealt with. We emphasize the flexibility, interpretation, and sensitivity (or
robustness) of the models proposed.
Keywords: Panel design, non-response, graphical model, GLM | no_NO |
dc.language.iso | eng | no_NO |
dc.publisher | Statistics Norway, Research Department | no_NO |
dc.relation.ispartofseries | Discussion Papers;No. 220 | |
dc.subject | Non-response | no_NO |
dc.subject | Statistiske metoder | no_NO |
dc.title | Synthetic graphical modelling of binary panel data subject to non-response : a case study | no_NO |
dc.type | Working paper | no_NO |
dc.subject.nsi | VDP::Mathematics and natural science: 400::Mathematics: 410::Statistics: 412 | no_NO |