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Estimator Deret Fourier Dalam Regresi Nonparametrik dengan Pembobot Untuk Perencanaan Penjualan Camilan Khas Madura

Zeta - Math Journal

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Title Estimator Deret Fourier Dalam Regresi Nonparametrik dengan Pembobot Untuk Perencanaan Penjualan Camilan Khas Madura
 
Creator Sholiha, Anisatus
Kuzairi, Kuzairi
Madianto, M. Fariz Fadillah
 
Description The purpose of regression analysis is determining the relationship between response variables to predictor variables. To estimate the regression curve there are three approaches, parametric regression, nonparametric regression, and semiparametric regression. In this study, the estimator form of nonparametric regression curve is analyzed by using the Fourier series approach with sine and cosine bases, sine bases, and cosine bases. Based on Weighted Least Square (WLS) optimization, the estimator result can be applied to model the sale planning of Madura typical snacks. Nonparametric regression estimators with the Fourier series approach are weighted with uniform and variance weight. The best model that be obtained in this study for uniform weight, based on cosine and sine basis with GCV value ​​of 1541.015, MSE value of 0.1375912 and determination coefficient value of 0.4728418%. The best model for variance weight is based on cosine and sine basis with a GCV value of 1541.011, MSE value of 0.1375912 and determination coefficient of 0.4728227%.
 
Publisher Universitas Islam Madura
 
Date 2018-05-16
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://journal.uim.ac.id/index.php/zeta/article/view/143
10.31102/zeta.2018.4.1.18-23
 
Source Zeta - Math Journal; Vol 4 No 1 (2018): Mei 2018; 18-23
2579-5864
2459-9948
10.31102/zeta.v4i1
 
Language eng
 
Relation https://journal.uim.ac.id/index.php/zeta/article/view/143/104
 
Rights Copyright (c) 2018 Anisatus Sholiha, Kuzairi Kuzairi, M. Fariz Fadillah Madianto
http://creativecommons.org/licenses/by-sa/4.0