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The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model by Rahmat Hidayat; I. Nyoman Budiantara; Bambang W. Otok; Vita Ratnasari is a Mathematics article available to read on EtoBox.

What is The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model about?

In this article, we propose a new method in estimating non parametric regression curve. This method combines the smoothing Spline and Kernel functions. Estimation of the estimator is completed by minimizing penalized least square. To see the performance of the model, this model is applied to simulation data with a variety of sample sizes and error variances. Then, the model is applied to the Unemployment Rate data in East Java Province, Indonesia. The results show that this model provides good performance in modeling data and predictions.

Who reads The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model?

Author

Rahmat Hidayat; I. Nyoman Budiantara; Bambang W. Otok; Vita Ratnasari

Publisher

Taylor and Francis Group; Informa UK (Marcel Dekker); Marcel Dekker Inc.; Informa UK Limited (ISSN 0361-0926)

Published

2020

Language

EN

Field

Mathematics (Physical Sciences)