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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
American Institute of Physics
2010
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| 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 |
| _version_ | 1848841115019509760 |
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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. |
| first_indexed | 2025-11-15T07:38:06Z |
| format | Conference or Workshop Item |
| id | upm-9325 |
| 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 |
| repository_type | Digital Repository |
| 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 |