The Application of Mixed Smoothing Spline and Fourier Series Model in Nonparametric Regression
In daily life, mixed data patterns are often found, namely, those that change at a certain sub-interval or that follow a repeating pattern in a certain trend. To handle this kind of data, a mixed estimator of a Smoothing Spline and a Fourier Series has been developed. This paper describes a simulati...
Main Authors: | Ni Putu Ayu Mirah Mariati, I. Nyoman Budiantara, Vita Ratnasari |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/13/11/2094 |
Similar Items
-
The Curve Estimation of Combined Truncated Spline and Fourier Series Estimators for Multiresponse Nonparametric Regression
by: Helida Nurcahayani, et al.
Published: (2021-05-01) -
Spline smoothing and nonparametric regression /
by: 213636 Eubank, Randall L.
Published: (1988) -
The performance of mixed truncated spline-local linear nonparametric regression model for longitudinal data
by: Idhia Sriliana, et al.
Published: (2024-06-01) -
A Truncated Spline and Local Linear Mixed Estimator in Nonparametric Regression for Longitudinal Data and Its Application
by: Idhia Sriliana, et al.
Published: (2022-12-01) -
Precise Tensor Product Smoothing via Spectral Splines
by: Nathaniel E. Helwig
Published: (2024-01-01)