The Estimation Function Approach Smoothing Spline Regression Analysis for Longitudinal Data

9th Annual Basic Science International Conference 2019

自然科学（总论）

Risnawati^1 ; Rinaldo Fernandes, Adji Achmad^1 ; Nurjannah^1

Departement of Statistics, Faculty of Mathematics and Natural Sciences, Brawijaya University, Indonesia^1

关键词: Error variance;    Estimation function;    Longitudinal data;    Non-parametric regression;    Penalized weighted least squares;    Regression curve;    Smoothing parameter;    Smoothing spline;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/546/5/052064/pdf
DOI  :  10.1088/1757-899X/546/5/052064

学科分类：自然科学（综合）

来源: IOP

【 摘 要 】

It is given the paired data following a nonparametric regression model for longitudinal data. The regression curve is approached by the smoothing spline function. The smoothing spline is a function that is able to map the data well and has a small error variance. This current study aims to obtained from completing PWLS (Penalized Weighted Least Square) optimaziton. Besides, the GCV method is used to select the smoothing parameter.