Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/11510
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dc.contributor.authorEl Halimi, Rachidcat
dc.contributor.authorOcaña i Rebull, Jordicat
dc.date.accessioned2010-03-08T13:15:09Z-
dc.date.available2010-03-08T13:15:09Z-
dc.date.issued2004-
dc.identifier.urihttp://hdl.handle.net/2445/11510-
dc.description.abstractIn this paper we analyse, using Monte Carlo simulation, the possible consequences of incorrect assumptions on the true structure of the random effects covariance matrix and the true correlation pattern of residuals, over the performance of an estimation method for nonlinear mixed models. The procedure under study is the well known linearization method due to Lindstrom and Bates (1990), implemented in the nlme library of S-Plus and R. Its performance is studied in terms of bias, mean square error (MSE), and true coverage of the associated asymptotic confidence intervals. Ignoring other criteria like the convenience of avoiding over parameterised models, it seems worst to erroneously assume some structure than do not assume any structure when this would be adequate.eng
dc.format.extent32 p.-
dc.format.extent429433 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengeng
dc.relation.isformatofReproducció digital del document originalcat
dc.relation.ispartofseriesDocuments de recerca del Departament d'Estadística -UB;2cat
dc.rightscc-by-nc-nd, (c) El Halimi et al., 2004-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/es/-
dc.sourceDocuments de treball / Informes (Genètica, Microbiologia i Estadística)-
dc.subject.classificationEstadísticacat
dc.subject.classificationMètodes de simulaciócat
dc.subject.classificationMètode de Montecarlocat
dc.subject.otherStatisticseng
dc.subject.otherSimulation methodseng
dc.subject.otherMonte Carlo methodeng
dc.titleImpact of incorrect assumptions on the covariance structure of random effects and/or residuals in nonlinear mixed models for repeated measures dataeng
dc.typeinfo:eu-repo/semantics/workingPapereng
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
Appears in Collections:Documents de treball / Informes (Genètica, Microbiologia i Estadística)

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