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:
Main Author: | Suliadi |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2011
|
Subjects: | |
Online Access: | http://psasir.upm.edu.my/id/eprint/19695/1/IPM_2011_8.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pseudo-replication in functional relationships with environmental applications /
by: Abdul Ghapor Hussin
Published: (1997) -
A new generalization of the logarithmic distribution /
by: Khang, Tsung Fei
Published: (2004) -
Parameter estimation using generating function based minimum power divergence measure /
by: Tay, Siew Ying
Published: (2018) -
On two-stage estimation /
by: Teoh, Kok Wah
Published: (1977) -
Properties of selected garma models and their estimation procedures
by: Ramiah Pillai, Thulasyammal
Published: (2012)