TY - JOUR
T1 - Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series
AU - Octavanny, Made Ayu Dwi
AU - Budiantara, I. Nyoman
AU - Kuswanto, Heri
AU - Rahmawati, Dyah Putri
N1 - Publisher Copyright:
© 2020 Made Ayu Dwi Octavanny et al.
PY - 2020
Y1 - 2020
N2 - Existing literature in nonparametric regression has established a model that only applies one estimator to all predictors. This study is aimed at developing a mixed truncated spline and Fourierseries model in nonparametric regression for longitudinal data. The mixed estimator is obtained by solving the two-stage estimation, consisting of a penalized weighted least square (PWLS) and weighted least square (WLS) optimization. To demonstrate the performance of the proposed method, simulation and real data are provided. The results of the simulated data and case study show a consistent finding.
AB - Existing literature in nonparametric regression has established a model that only applies one estimator to all predictors. This study is aimed at developing a mixed truncated spline and Fourierseries model in nonparametric regression for longitudinal data. The mixed estimator is obtained by solving the two-stage estimation, consisting of a penalized weighted least square (PWLS) and weighted least square (WLS) optimization. To demonstrate the performance of the proposed method, simulation and real data are provided. The results of the simulated data and case study show a consistent finding.
UR - http://www.scopus.com/inward/record.url?scp=85098204147&partnerID=8YFLogxK
U2 - 10.1155/2020/4710745
DO - 10.1155/2020/4710745
M3 - Article
AN - SCOPUS:85098204147
SN - 1085-3375
VL - 2020
JO - Abstract and Applied Analysis
JF - Abstract and Applied Analysis
M1 - 4710745
ER -