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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| Format: | Article |
| Language: | en |
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Universitas Ahmad Dahlan
2018
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| Online Access: | http://eprints.uthm.edu.my/5108/1/AJ%202018%20%28835%29%20Bootstrap-based%20model%20selection%20in%20subset%20polynomial%20regression.pdf http://eprints.uthm.edu.my/5108/ |
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| _version_ | 1833417771206049792 |
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| author | Suparman, S. Rusiman, Mohd Saifullah |
| author_facet | Suparman, S. Rusiman, Mohd Saifullah |
| author_sort | Suparman, S. |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uthm.eprints-5108 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2018 |
| publisher | Universitas Ahmad Dahlan |
| record_format | eprints |
| spelling | my.uthm.eprints-51082022-01-05T08:37:17Z http://eprints.uthm.edu.my/5108/ Bootstrap-based model selection in subset polynomial regression Suparman, S. Rusiman, Mohd Saifullah QA273-280 Probabilities. Mathematical statistics TA329-348 Engineering mathematics. Engineering analysis 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. Universitas Ahmad Dahlan 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5108/1/AJ%202018%20%28835%29%20Bootstrap-based%20model%20selection%20in%20subset%20polynomial%20regression.pdf Suparman, S. and Rusiman, Mohd Saifullah (2018) Bootstrap-based model selection in subset polynomial regression. International Journal of Advances in Intelligent Informatics, 4 (2). pp. 87-94. ISSN 2442-6571 |
| spellingShingle | QA273-280 Probabilities. Mathematical statistics TA329-348 Engineering mathematics. Engineering analysis Suparman, S. Rusiman, Mohd Saifullah Bootstrap-based model selection in subset polynomial regression |
| title | 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_short | Bootstrap-based model selection in subset polynomial regression |
| title_sort | bootstrap-based model selection in subset polynomial regression |
| topic | QA273-280 Probabilities. Mathematical statistics TA329-348 Engineering mathematics. Engineering analysis |
| url | http://eprints.uthm.edu.my/5108/1/AJ%202018%20%28835%29%20Bootstrap-based%20model%20selection%20in%20subset%20polynomial%20regression.pdf http://eprints.uthm.edu.my/5108/ |
| url_provider | http://eprints.uthm.edu.my/ |