Nonparametric regression for longitudinal binary data based on GEE-Smoothing Spline.

This paper considers nonparametric regression to analyze longitudinal binary data. In this paper we propose GEE-Smoothing spline and study the properties of the estimator such as the bias, consistency and efficiency. We use natural cubic spline with combination of generalized estimating equation pro...

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書誌詳細
主要な著者: Suliadi, ., Ibrahim, Noor Akma, Daud, Isa, Krishnarajah, Isthrinayagy S.
フォーマット: 論文
言語:English
出版事項: Dixie W Publishing Corporation 2010
オンライン・アクセス:http://psasir.upm.edu.my/id/eprint/15831/
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