Estimate the Nonparametric Regression Function Using Canonical Kernel
DOI:
https://doi.org/10.33095/jeas.v17i61.1091Keywords:
تقدير دالة الانحدار اللامعلمية باستخدام دوال لب قانونية, Estimate the Nonparametric Regression Function Using Canonical KernelAbstract
This research aims to review the importance of estimating the nonparametric regression function using so-called Canonical Kernel which depends on re-scale the smoothing parameter, which has a large and important role in Kernel and give the sound amount of smoothing .
We has been shown the importance of this method through the application of these concepts on real data refer to international exchange rates to the U.S. dollar against the Japanese yen for the period from January 2007 to March 2010. The results demonstrated preference the nonparametric estimator with Gaussian on the other nonparametric and parametric regression estimators (Simple and Multiple linear regressions).
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