Back to Search
Start Over
Hybrid exact-approximate design approach for sparse functional data.
- Source :
-
Computational Statistics & Data Analysis . Feb2024, Vol. 190, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- Optimal designs for sparse functional data under the functional empirical component (FEC) settings are studied. This design issue has some unique features, making it different from classical design problems. To efficiently obtain optimal exact and approximate designs, new computational methods and useful theoretical results are developed, and a hybrid exact-approximate design approach is proposed. The proposed methods are demonstrated to be efficient via simulation studies and a real example. [ABSTRACT FROM AUTHOR]
- Subjects :
- *PANEL analysis
Subjects
Details
- Language :
- English
- ISSN :
- 01679473
- Volume :
- 190
- Database :
- Academic Search Index
- Journal :
- Computational Statistics & Data Analysis
- Publication Type :
- Periodical
- Accession number :
- 173473011
- Full Text :
- https://doi.org/10.1016/j.csda.2023.107850