Citation
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).
Abstract
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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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Science Institute for Mathematical Research |
| DOI Number: | https://doi.org/10.1063/1.3525149 |
| Publisher: | American Institute of Physics |
| Keywords: | Generalized estimating equation; Nominal data; Properties of estimator; Smoothing spline; Simulation study |
| Depositing User: | Samsida Samsudin |
| Date Deposited: | 24 Jan 2011 08:16 |
| Last Modified: | 21 Sep 2017 03:42 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.3525149 |
| URI: | http://psasir.upm.edu.my/id/eprint/9325 |
| Statistic Details: | View Download Statistic |
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