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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Universitas Ahmad Dahlan
2018-07-01
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Online Access: | http://ijain.org/index.php/IJAIN/article/view/173 |
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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 |