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dc.contributor.authorRuckstuhl, Andreas-
dc.contributor.authorWelsh, A.H.-
dc.contributor.authorCarroll, R.J.-
dc.date.accessioned2018-06-25T12:39:23Z-
dc.date.available2018-06-25T12:39:23Z-
dc.date.issued2000-01-
dc.identifier.issn1996-8507de_CH
dc.identifier.issn1017-0405de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/7223-
dc.description.abstractWe describe methods for estimating the regression function nonparametrically, and for estimating the variance components in a simple variance component model which is sometimes used for repeated measures data or data with a simple clustered structure. We consider a number of different ways of estimating the regression function. The main results are that the simple pooled estimator which treats the data as independent performs very well asymptotically, but that we can construct estimators which perform better asymptotically in some circumstances. The local linear version of the quasi-likelihood estimator is supposed to exploit the covariance structure of the model but does not in fact do so, asymptotically performing worse than the simple pooled estimator.de_CH
dc.language.isoende_CH
dc.publisherAcademia Sinicade_CH
dc.relation.ispartofStatistica Sinicade_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectLocal quasi-likelihood estimatorde_CH
dc.subjectSemiparametric estimationde_CH
dc.subjectLocal linear regressionde_CH
dc.subject.ddc510: Mathematikde_CH
dc.titleNonparametric function estimation of the relationship between two repeatedly measured variablesde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end71de_CH
zhaw.pages.start51de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume10de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
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Ruckstuhl, A., Welsh, A. H., & Carroll, R. J. (2000). Nonparametric function estimation of the relationship between two repeatedly measured variables. Statistica Sinica, 10(1), 51–71.
Ruckstuhl, A., Welsh, A.H. and Carroll, R.J. (2000) ‘Nonparametric function estimation of the relationship between two repeatedly measured variables’, Statistica Sinica, 10(1), pp. 51–71.
A. Ruckstuhl, A. H. Welsh, and R. J. Carroll, “Nonparametric function estimation of the relationship between two repeatedly measured variables,” Statistica Sinica, vol. 10, no. 1, pp. 51–71, Jan. 2000.
RUCKSTUHL, Andreas, A.H. WELSH und R.J. CARROLL, 2000. Nonparametric function estimation of the relationship between two repeatedly measured variables. Statistica Sinica. Januar 2000. Bd. 10, Nr. 1, S. 51–71
Ruckstuhl, Andreas, A.H. Welsh, and R.J. Carroll. 2000. “Nonparametric Function Estimation of the Relationship between Two Repeatedly Measured Variables.” Statistica Sinica 10 (1): 51–71.
Ruckstuhl, Andreas, et al. “Nonparametric Function Estimation of the Relationship between Two Repeatedly Measured Variables.” Statistica Sinica, vol. 10, no. 1, Jan. 2000, pp. 51–71.


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