@article{(Open Science Index):https://publications.waset.org/pdf/4537, title = {A Comparison of the Nonparametric Regression Models using Smoothing Spline and Kernel Regression}, author = {Dursun Aydin}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Mathematical and Computational Sciences}, volume = {1}, number = {12}, year = {2007}, pages = {588 - 592}, ee = {https://publications.waset.org/pdf/4537}, url = {https://publications.waset.org/vol/12}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 12, 2007}, }