2019•IOP Conference Series Materials Science and EngineeringOpen access

The Estimation Function Approach Smoothing Spline Regression Analysis for Longitudinal Data

Risnawati, Adji Achmad Rinaldo Fernandes, Nurjannah Nurjannah

Abstract

Abstract 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.

Open-access reader

About this research paper

What this paper is about

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Smoothing spline, Smoothing, Nonparametric regression, Spline (mechanical), Statistics, Nonparametric statistics, Mathematics, Regression