Smoothing ordered sparse contingency tables and the chi-2 test

dc.contributor.authorAbberger, Klausdeu
dc.date.accessioned2011-03-25T09:40:13Zdeu
dc.date.available2011-03-25T09:40:13Zdeu
dc.date.issued2002deu
dc.description.abstractTo estimate cell probabilities for ordered sparse contingency tables several smooth- ing techniques have been investigated. It has been recognized that nonparamet- ric smoothing methods provide estimators of cell probabilities that have better performance than the pure frequency estimators. With the help of simulation examples it is shown in this paper that these smoothing techniques may help to get test which are more powerful than chi-2 test with raw data. But the distribution of the chi-2 statistics after smoothing is unknown. This distribution can also be estimated by simulation methods.eng
dc.description.versionpublished
dc.format.mimetypeapplication/pdfdeu
dc.identifier.ppn099210290deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/11780
dc.language.isoengdeu
dc.legacy.dateIssued2002deu
dc.relation.ispartofseriesCoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectnonparametric estimationdeu
dc.subjectlocal polynomial smoothersdeu
dc.subjectlocal likelihooddeu
dc.subjectsparse contingency tablesdeu
dc.subjectchi-2 testdeu
dc.subjectindependence testdeu
dc.subject.ddc330deu
dc.titleSmoothing ordered sparse contingency tables and the chi-2 testeng
dc.typeWORKINGPAPERdeu
dspace.entity.typePublication
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kops.citation.bibtex
@techreport{Abberger2002Smoot-11780,
  year={2002},
  series={CoFE-Diskussionspapiere / Zentrum für Finanzen und Ökonometrie},
  title={Smoothing ordered sparse contingency tables and the chi-2 test},
  number={2002/09},
  author={Abberger, Klaus}
}
kops.citation.iso690ABBERGER, Klaus, 2002. Smoothing ordered sparse contingency tables and the chi-2 testdeu
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