Open AccessThe Estimation Function Approach Smoothing Spline Regression Analysis for Longitudinal Data
Author(s) -
. Risnawati,
Adji Achmad Rinaldo Fernandes,
. Nurjannah
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/546/5/052064
Subject(s) - smoothing spline , smoothing , nonparametric regression , spline (mechanical) , statistics , nonparametric statistics , mathematics , regression , variance function , thin plate spline , regression analysis , function (biology) , longitudinal data , functional data analysis , kernel smoother , computer science , econometrics , artificial intelligence , data mining , engineering , spline interpolation , kernel method , structural engineering , evolutionary biology , radial basis function kernel , support vector machine , bilinear interpolation , biology
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.