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Semiparametric models for correlated nominal data

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.

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Bibliographic Details
Main Authors: Suliadi, Noor Akma, Ibrahim, Isa, Daud, Krishnarajah, Isthrinayagy S.
Other Authors: suliadig@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2010
Subjects:
Nominal data
Correlated data
Semiparametric estimation
Generalized estimating equation
Smoothing spline
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10313
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spelling my.unimap-103132010-11-25T09:34:39Z Semiparametric models for correlated nominal data 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 Nominal data Correlated data Semiparametric estimation Generalized estimating equation Smoothing spline Regional Conference on Applied and Engineering Mathematics (RCAEM) 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. 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). 2010-11-25T09:34:39Z 2010-11-25T09:34:39Z 2010-06-02 Working Paper Vol.4(4), p.375-380 http://hdl.handle.net/123456789/10313 en Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 Universiti Malaysia Perlis (UniMAP) Institut Matematik Kejuruteraan
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Nominal data
Correlated data
Semiparametric estimation
Generalized estimating equation
Smoothing spline
Regional Conference on Applied and Engineering Mathematics (RCAEM)
spellingShingle Nominal data
Correlated data
Semiparametric estimation
Generalized estimating equation
Smoothing spline
Regional Conference on Applied and Engineering Mathematics (RCAEM)
Suliadi
Noor Akma, Ibrahim
Isa, Daud
Krishnarajah, Isthrinayagy S.
Semiparametric models for correlated nominal data
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.
author2 suliadig@gmail.com
author_facet suliadig@gmail.com
Suliadi
Noor Akma, Ibrahim
Isa, Daud
Krishnarajah, Isthrinayagy S.
format Working Paper
author Suliadi
Noor Akma, Ibrahim
Isa, Daud
Krishnarajah, Isthrinayagy S.
author_sort Suliadi
title Semiparametric models for correlated nominal data
title_short Semiparametric models for correlated nominal data
title_full Semiparametric models for correlated nominal data
title_fullStr Semiparametric models for correlated nominal data
title_full_unstemmed Semiparametric models for correlated nominal data
title_sort semiparametric models for correlated nominal data
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10313
_version_ 1643789809053859840
score 13.214268

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