Gee-Smoothing Spline for Semiparametric Estimation of Longitudinal Categorical Data
In this thesis we propose estimation methods of semiparametric marginal models for longitudinal (correlated) categorical data, where the systematic component of the model consists of parametric and nonparametric forms. We develop GEE-Smoothing spline as a method to analyze semiparametric model for l...
Saved in:
主要作者: | Suliadi |
---|---|
格式: | Thesis |
語言: | English English |
出版: |
2011
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/19695/1/IPM_2011_8.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
由: Karimi, Mostafa
出版: (2019) -
Pseudo-replication in functional relationships with environmental applications /
由: Abdul Ghapor Hussin
出版: (1997) -
A new generalization of the logarithmic distribution /
由: Khang, Tsung Fei
出版: (2004) -
Parameter estimation using generating function based minimum power divergence measure /
由: Tay, Siew Ying
出版: (2018) -
On two-stage estimation /
由: Teoh, Kok Wah
出版: (1977)