GEE-smoothing spline in semiparametric model with correlated nominal data

In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correlated nominal data. The method can be seen as an extension of parametric generalized estimating equation to semiparametric models. The nonparametric component is estimated using smoothing spline specif...

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Main Authors: Ibrahim, Noor Akma, Suliadi
Format: Conference or Workshop Item
Language:English
Published: American Institute of Physics 2010
Online Access:http://psasir.upm.edu.my/id/eprint/9325/
http://psasir.upm.edu.my/id/eprint/9325/1/GEE-smoothing%20spline%20in%20semiparametric%20model%20with%20correlated%20nominal%20data.pdf
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author Ibrahim, Noor Akma
Suliadi,
author_facet Ibrahim, Noor Akma
Suliadi,
author_sort Ibrahim, Noor Akma
building UPM Institutional Repository
collection Online Access
description In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correlated nominal data. The method can be seen as an extension of parametric generalized estimating equation to semiparametric models. The nonparametric component is estimated using smoothing spline specifically the natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. The properties of the estimators are evaluated using simulation studies.
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format Conference or Workshop Item
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institution Universiti Putra Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T07:38:06Z
publishDate 2010
publisher American Institute of Physics
recordtype eprints
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spelling upm-93252017-09-21T03:42:22Z http://psasir.upm.edu.my/id/eprint/9325/ GEE-smoothing spline in semiparametric model with correlated nominal data Ibrahim, Noor Akma Suliadi, In this paper we propose GEE‐Smoothing spline in the estimation of semiparametric models with correlated nominal data. The method can be seen as an extension of parametric generalized estimating equation to semiparametric models. The nonparametric component is estimated using smoothing spline specifically the natural cubic spline. We use profile algorithm in the estimation of both parametric and nonparametric components. The properties of the estimators are evaluated using simulation studies. American Institute of Physics 2010 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/9325/1/GEE-smoothing%20spline%20in%20semiparametric%20model%20with%20correlated%20nominal%20data.pdf Ibrahim, Noor Akma and Suliadi, (2010) GEE-smoothing spline in semiparametric model with correlated nominal data. In: International Conference on Mathematical Science (ICMS), 23-27 Nov. 2010, Bolu, Turkey. (pp. 474-487). 10.1063/1.3525149
spellingShingle Ibrahim, Noor Akma
Suliadi,
GEE-smoothing spline in semiparametric model with correlated nominal data
title GEE-smoothing spline in semiparametric model with correlated nominal data
title_full GEE-smoothing spline in semiparametric model with correlated nominal data
title_fullStr GEE-smoothing spline in semiparametric model with correlated nominal data
title_full_unstemmed GEE-smoothing spline in semiparametric model with correlated nominal data
title_short GEE-smoothing spline in semiparametric model with correlated nominal data
title_sort gee-smoothing spline in semiparametric model with correlated nominal data
url http://psasir.upm.edu.my/id/eprint/9325/
http://psasir.upm.edu.my/id/eprint/9325/
http://psasir.upm.edu.my/id/eprint/9325/1/GEE-smoothing%20spline%20in%20semiparametric%20model%20with%20correlated%20nominal%20data.pdf