Bootstrap-based model selection in subset polynomial regression
Suparman Suparman, Mohd Saifullah Rusiman
IJAIN (International Journal of Advances in Intelligent Informatics) · 2018
doi:10.26555/ijain.v4i2.173 (opens in a new tab)
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Abstract
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.
Abstract licence: CC BY-SA
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