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The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model.
- Source :
-
Communications in Statistics: Theory & Methods . 2021, Vol. 50 Issue 17, p3942-3953. 12p. - Publication Year :
- 2021
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SPLINES
*KERNEL functions
*PARAMETRIC equations
*SAMPLING errors
*LEAST squares
Subjects
Details
- Language :
- English
- ISSN :
- 03610926
- Volume :
- 50
- Issue :
- 17
- Database :
- Academic Search Index
- Journal :
- Communications in Statistics: Theory & Methods
- Publication Type :
- Academic Journal
- Accession number :
- 152456524
- Full Text :
- https://doi.org/10.1080/03610926.2019.1710201