| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1145465 | Journal of Multivariate Analysis | 2015 | 10 Pages |
Abstract
Functional mixed-effects models are very useful in analyzing data. In this paper, we consider a functional mixed-effects model, where the observations are the real functions, and derive the maximum likelihood estimators of the functional parameters and variance components. The properties of the maximum likelihood estimators are also investigated.
Related Topics
Physical Sciences and Engineering
Mathematics
Numerical Analysis
Authors
E.A. Rady, N.M. Kilany, S.A. Eliwa,