Rady, E.A.; Kilany, N.M.; Eliwa, S.A. - In: Journal of Multivariate Analysis 133 (2015) C, pp. 346-355
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...