Bootstrap-based model selection in subset polynomial regression

(1) * Suparman Suparman Mail (Universitas Ahmad Dahlan, Indonesia)
(2) Mohd Saifullah Rusiman Mail (Universiti Tun Hussein Onn Malaysia, Malaysia)
*corresponding author


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.


Bootstrap algorithm; Subset polynomial; Regression; Model selection



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International Journal of Advances in Intelligent Informatics
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