%0 Journal Article
	%A Dursun Aydin
	%D 2007
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 12, 2007
	%T A Comparison of the Nonparametric Regression Models using Smoothing Spline and Kernel Regression
	%U https://publications.waset.org/pdf/4537
	%V 12
	%X This paper study about using of nonparametric
models for Gross National Product data in Turkey and Stanford heart
transplant data. It is discussed two nonparametric techniques called
smoothing spline and kernel regression. The main goal is to compare
the techniques used for prediction of the nonparametric regression
models. According to the results of numerical studies, it is concluded
that smoothing spline regression estimators are better than those of
the kernel regression.
	%P 588 - 592