A New Mixed Estimator in Nonparametric Regression for Longitudinal Data
We introduce a new method for estimating the nonparametric regression curve for longitudinal data. This method combines two estimators: truncated spline and Fourier series. This estimation is completed by minimizing the penalized weighted least squares and weighted least squares. This paper also pro...
Saved in:
Main Authors: | Made Ayu Dwi Octavanny, I Nyoman Budiantara, Heri Kuswanto, Dyah Putri Rahmawati |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Journal of Mathematics |
Online Access: | http://dx.doi.org/10.1155/2021/3909401 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series
by: Made Ayu Dwi Octavanny, et al.
Published: (2020-01-01) -
Combination Estimation of Smoothing Spline and Fourier Series in Nonparametric Regression
by: Ni Putu Ayu Mirah Mariati, et al.
Published: (2020-01-01) -
Complete Consistency of the Estimator of Nonparametric Regression Models Based on ρ~-Mixing Sequences
by: Xuejun Wang, et al.
Published: (2012-01-01) -
A Least Squares Method for Variance Estimation in Heteroscedastic Nonparametric Regression
by: Yuejin Zhou, et al.
Published: (2014-01-01) -
On Nonparametric Estimation of Covariogram
by: Adam Bilchouris, et al.
Published: (2025-01-01)