Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series
Joint Authors
Octavanny, Made Ayu Dwi
Budiantara, I. Nyoman
Kuswanto, Heri
Rahmawati, Dyah Putri
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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 Fourier series 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.
American Psychological Association (APA)
Octavanny, Made Ayu Dwi& Budiantara, I. Nyoman& Kuswanto, Heri& Rahmawati, Dyah Putri. 2020. Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series. Abstract and Applied Analysis،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1119896
Modern Language Association (MLA)
Octavanny, Made Ayu Dwi…[et al.]. Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series. Abstract and Applied Analysis No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1119896
American Medical Association (AMA)
Octavanny, Made Ayu Dwi& Budiantara, I. Nyoman& Kuswanto, Heri& Rahmawati, Dyah Putri. Nonparametric Regression Model for Longitudinal Data with Mixed Truncated Spline and Fourier Series. Abstract and Applied Analysis. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1119896
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119896