Bootstrap-based model selection in subset polynomial regression

The subset polynomial regression model is wider than the polynomial regression model. This study proposes an estimate of the parameters of the subset polynomial regression model with unknown error and distribution. The Bootstrap method is used to estimate the parameters of the subset polynomial regr...

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Main Authors:	Suparman Suparman, Mohd Saifullah Rusiman
Format:	Article
Language:	English
Published:	Universitas Ahmad Dahlan 2018-07-01
Series:	IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:	Bootstrap algorithm Subset polynomial Regression Model selection
Online Access:	http://ijain.org/index.php/IJAIN/article/view/173

id	doaj-fac6a736583f4b3f8717c5266fc548c0
record_format	Article
spelling	doaj-fac6a736583f4b3f8717c5266fc548c02020-11-24T21:05:30ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612018-07-0142879410.26555/ijain.v4i2.17388Bootstrap-based model selection in subset polynomial regressionSuparman Suparman0Mohd Saifullah Rusiman1Universitas Ahmad DahlanUniversiti Tun Hussein Onn MalaysiaThe subset polynomial regression model is wider than the polynomial regression model. This study proposes an estimate of the parameters of the subset polynomial regression model with unknown error and distribution. The Bootstrap method is used to estimate the parameters of the subset polynomial regression model. Simulated data is used to test the performance of the Bootstrap method. The test results show that the bootstrap method can estimate well the parameters of the subset polynomial regression model.http://ijain.org/index.php/IJAIN/article/view/173Bootstrap algorithmSubset polynomialRegressionModel selection
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Suparman Suparman Mohd Saifullah Rusiman
spellingShingle	Suparman Suparman Mohd Saifullah Rusiman Bootstrap-based model selection in subset polynomial regression IJAIN (International Journal of Advances in Intelligent Informatics) Bootstrap algorithm Subset polynomial Regression Model selection
author_facet	Suparman Suparman Mohd Saifullah Rusiman
author_sort	Suparman Suparman
title	Bootstrap-based model selection in subset polynomial regression
title_short	Bootstrap-based model selection in subset polynomial regression
title_full	Bootstrap-based model selection in subset polynomial regression
title_fullStr	Bootstrap-based model selection in subset polynomial regression
title_full_unstemmed	Bootstrap-based model selection in subset polynomial regression
title_sort	bootstrap-based model selection in subset polynomial regression
publisher	Universitas Ahmad Dahlan
series	IJAIN (International Journal of Advances in Intelligent Informatics)
issn	2442-6571 2548-3161
publishDate	2018-07-01
description	The subset polynomial regression model is wider than the polynomial regression model. This study proposes an estimate of the parameters of the subset polynomial regression model with unknown error and distribution. The Bootstrap method is used to estimate the parameters of the subset polynomial regression model. Simulated data is used to test the performance of the Bootstrap method. The test results show that the bootstrap method can estimate well the parameters of the subset polynomial regression model.
topic	Bootstrap algorithm Subset polynomial Regression Model selection
url	http://ijain.org/index.php/IJAIN/article/view/173
work_keys_str_mv	AT suparmansuparman bootstrapbasedmodelselectioninsubsetpolynomialregression AT mohdsaifullahrusiman bootstrapbasedmodelselectioninsubsetpolynomialregression
_version_	1716768555905581056

Bootstrap-based model selection in subset polynomial regression

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