Jurnal Ilmiah Kursor
Vol 11 No 4 (2022)

THE PARAMETRIC AND NONPARAMETRIC ESTIMATOR IN SEMIPARAMETRIC REGRESSION FOR LONGITUDINAL DATA WITH SPLINE APPROACH

Tony Yulianto (Universitas Islam Madura)
Kuzairi Kuzairi (Universitas Islam Madura)
Noer Azizah (Universitas Islam Madura)
M. Fariz Fadillah Mardianto (Universitas Airlangga)
Ira Yuditira (Universitas Islam Madura)
Faisol Faisol (Universitas Islam Madura)
Rica Amalia (Universitas Islam Madura)

Article Info

Publish Date
06 Jan 2023

Abstract

Regression analysis aims to determine the relationship between response variables and predictor variables. There are three approaches to estimate regression curves, there are parametric, nonparametric, and semiparametric regression. In this study, the form of spline semiparametric regression curve estimator for longitudinal data assessed. Based on the estimator that be obtained by using Weighted Least Square (WLS) optimization applied to model electricity consumption in Madura by choosing a model for longitudinal data based on linear spline estimator with two knot. The good criterion of the model is using the GCV value, the coefficient of determination and the value of MSE. The best model is a model that has a high coefficient of determination and a small MSE value. This spline model has a determination coefficient value of 99,72911% and MSE 32,50458.

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Journal Info
Jurnal Ilmiah Kursor
Website

Abbrev

kursor

Publisher

Universitas Trunojoyo Madura

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal Ilmiah Kursor is published in January 2005 and has been accreditated by the Directorate General of Higher Education in 2010, 2014, 2019, and until now. Jurnal Ilmiah Kursor seeks to publish original scholarly articles related (but are not limited) to: Computer Science. Computational ...