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dc.contributor.authorSuliadi
dc.contributor.authorNoor Akma, Ibrahim
dc.contributor.authorIsa, Daud
dc.contributor.authorKrishnarajah, Isthrinayagy S.
dc.date.accessioned2010-11-25T09:34:39Z
dc.date.available2010-11-25T09:34:39Z
dc.date.issued2010-06-02
dc.identifier.citationVol.4(4), p.375-380en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10313
dc.description1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.en_US
dc.description.abstractIn this paper we consider semiparametric modeling for correlated nominal data. The model consists of two components, parametric and nonparametric. We propose generalized estimating equation (GEE)-Smoothing spline as a method to estimate these components. GEESmoothing spline can be seen as an extension of parametric GEE to semiparametric GEE. The parametric component is estimated based on GEE, while the nonparametric is estimated based on smoothing spline method. In this paper we consider the logit link function (nominal logistic regression model).en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010en_US
dc.subjectNominal dataen_US
dc.subjectCorrelated dataen_US
dc.subjectSemiparametric estimationen_US
dc.subjectGeneralized estimating equationen_US
dc.subjectSmoothing splineen_US
dc.subjectRegional Conference on Applied and Engineering Mathematics (RCAEM)en_US
dc.titleSemiparametric models for correlated nominal dataen_US
dc.typeWorking Paperen_US
dc.publisher.departmentInstitut Matematik Kejuruteraanen_US
dc.contributor.urlsuliadig@gmail.comen_US
dc.contributor.urlnakma@putra.upm.edu.myen_US
dc.contributor.urlisa@fsas.upm.edu.myen_US
dc.contributor.urlisthri@science.upm.edu.myen_US


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