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GEE-smoothing spline in semiparametric model with correlated nominal data

Ibrahim, Noor Akma and Suliadi, (2010) GEE-smoothing spline in semiparametric model with correlated nominal data. In: ICMS International Conference on Mathematical Science, 23-27 Nov. 2010, Bolu, Turkey.

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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.

Item Type:Conference or Workshop Item (Paper)
Keyword:Generalized estimating equation; Nominal data; Properties of estimator; Smoothing spline; Simulation study
Faculty or Institute:Faculty of Science
Publisher:American Institute of Physics
DOI Number:10.1063/1.3525149
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.3525149
ID Code:9325
Deposited By: Samsida Samsudin
Deposited On:24 Jan 2011 08:16
Last Modified:24 Oct 2014 14:19

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