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GEE-Smoothing spline in semiparametric model with correlated nominal Data : Estimation and simulation study
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ibrahim, Noor Akma |
| Abstract | the estimation of semiparametric models for 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 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.wseas.us/e-library/conferences/2010/Corfu/ASM/ASM-02.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Algorithm Coefficient Cubic Hermite spline Cubic function Estimated Level of measurement Semiparametric model Simulation Smoothing (statistical technique) Smoothing spline Spline interpolation While |
| Content Type | Text |
| Resource Type | Article |