Bootstrap-based model selection in subset polynomial regression

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Opis

Tytuł:: Bootstrap-based model selection in subset polynomial regression
Autorzy:: Suparman Suparman
Mohd Saifullah Rusiman
Temat:: Bootstrap algorithm
Subset polynomial
Regression
Model selection
Electronic computers. Computer science
QA75.5-76.95
Źródło:: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 4, Iss 2, Pp 87-94 (2018)
Wydawca:: Universitas Ahmad Dahlan, 2018.
Rok publikacji:: 2018
Kolekcja:: LCC:Electronic computers. Computer science
Typ dokumentu:: article
Opis pliku:: electronic resource
Język:: English
ISSN:: 2442-6571
2548-3161
Relacje:: http://ijain.org/index.php/IJAIN/article/view/173; https://doaj.org/toc/2442-6571; https://doaj.org/toc/2548-3161
DOI:: 10.26555/ijain.v4i2.173
Dostęp URL:: https://doaj.org/article/fac6a736583f4b3f8717c5266fc548c0 Link otwiera się w nowym oknie
Numer akcesji:: edsdoj.fac6a736583f4b3f8717c5266fc548c0
: Czasopismo naukowe

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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.

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