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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10313
Title: | Semiparametric models for correlated nominal data |
Authors: | Suliadi Noor Akma, Ibrahim Isa, Daud Krishnarajah, Isthrinayagy S. suliadig@gmail.com nakma@putra.upm.edu.my isa@fsas.upm.edu.my isthri@science.upm.edu.my |
Keywords: | Nominal data Correlated data Semiparametric estimation Generalized estimating equation Smoothing spline Regional Conference on Applied and Engineering Mathematics (RCAEM) |
Issue Date: | 2-Jun-2010 |
Publisher: | Universiti Malaysia Perlis (UniMAP) |
Citation: | Vol.4(4), p.375-380 |
Series/Report no.: | Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 |
Abstract: | In this paper we consider semiparametric modeling for correlated nominal data. The model consists of two components, parametric and nonparametric. We propose generalized estimating equation (GEE)-Smoothing spline as a method to estimate these components. GEESmoothing spline can be seen as an extension of parametric GEE to semiparametric GEE. The parametric component is estimated based on GEE, while the nonparametric is estimated based on smoothing spline method. In this paper we consider the logit link function (nominal logistic regression model). |
Description: | 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang. |
URI: | http://dspace.unimap.edu.my/123456789/10313 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Paper ID R028.pdf | Access is limited to UniMAP community | 180.88 kB | Adobe PDF | View/Open |
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