Herawati, Netti and Nisa, Khoirin (2017) A ROBUST PROCEDURE FOR GEE MODEL. Far East Journal of Mathematical Sciences (FJMS), 102 (3). pp. 645-654. ISSN ISSN: 0972-0871
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Abstract
Abstract In longitudinal studies, multiple measurements are taken on the same subject at different points in time. Thus, observations for the same subject are correlated. This paper proposes a robust procedure for estimating parameters of regression model when generalized estimating equation (GEE) applied to longitudinal data that contains outliers. The procedure is a combination of the iteratively reweighted least square (IRLS) and least trimmed square (LTS) methods and is called iteratively reweighted least trimmed square (IRLTS). We conducted a simulation study for gamma model and Poisson model using the proposed method, the result shows that our approach can provide a better result than the classical GEE.
| Item Type: | Article |
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| Subjects: | H Social Sciences > HA Statistics |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika |
| Depositing User: | Dr NETTI HERAWATI |
| Date Deposited: | 04 Sep 2017 01:48 |
| Last Modified: | 04 Sep 2017 01:48 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/3838 |
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