The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model
From MaRDI portal
Publication:5078879
DOI10.1080/03610926.2019.1710201OpenAlexW3006505822MaRDI QIDQ5078879
I. N. Budiantara, Bambang Widjanarko Otok, Vita Ratnasari, Rahmat Hidayat
Publication date: 25 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2019.1710201
Related Items (2)
Combination estimation of smoothing spline and Fourier series in nonparametric regression ⋮ Mixed spline smoothing and kernel estimator in biresponse nonparametric regression
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Generalized kernel regression estimator for dependent size-biased data
- A new method of hypothesis test for truncated spline nonparametric regression influenced by spatial heterogeneity and application
- Fourier series approximation of separable models
- On wavelet methods for estimating smooth functions
- Variance reduction for kernel estimators in clustered/longitudinal data analysis
- Spline Estimator in Multi-Response Nonparametric Regression Model with Unequal Correlation of Errors
- Fourier smoother and additive models
- Using Penalized Splines to Model Age‐ and Season‐of‐Birth‐Dependent Effects of Childhood Mortality Risk Factors in Rural Burkina Faso
- Equivalent kernels of smoothing splines in nonparametric regression for clustered/longitudinal data
This page was built for publication: The regression curve estimation by using mixed smoothing spline and kernel (MsS-K) model